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Xing, Jiaxu; Geles, Ismail; Song, Yunlong; Aljalbout, Elie; Scaramuzza, Davide (2025). Multi-Task Reinforcement Learning for Quadrotors. IEEE Robotics and Automation Letters, 10(3):2112-2119.
Ayuso‐Martinez, Alvaro; Casanueva‐Morato, Daniel; Dominguez‐Morales, Juan P; Indiveri, Giacomo; Jimenez‐Fernandez, Angel; Jimenez‐Moreno, Gabriel (2024). Analog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed‐Signal Neuromorphic Processors. Advanced Intelligent Systems:Epub ahead of print.
Casanueva‐Morato, Daniel; Ayuso‐Martinez, Alvaro; Indiveri, Giacomo; Dominguez‐Morales, Juan P; Jimenez‐Moreno, Gabriel (2024). Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview. Advanced Intelligent Systems, 7(1):2400282.
Nair, Ashish Devadas; Kindle, Julien; Levchev, Plamen; Scaramuzza, Davide (2024). Hilti SLAM Challenge 2023: Benchmarking Single + Multi-Session SLAM Across Sensor Constellations in Construction. IEEE Robotics and Automation Letters, 9(8):7286-7293.
Wu, Wenyuan; Heierli, Jasmin; Meisterhans, Max; Moser, Adrian; Färber, Andri; Dolata, Mateusz; Gavagnin, Elena; de Spindler, Alexandre; Schwabe, Gerhard (2024). PROMISE: A Framework for Model-Driven Stateful Prompt Orchestration. In: Islam, Shareeful; Sturm, Arnon. Intelligent Information Systems. Cham: Springer, 157-165.
Romero, Angel; Song, Yunlong; Scaramuzza, Davide (2024). Actor-Critic Model Predictive Control. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13 May 2024 - 17 May 2024, 14777-14784.
Messikommer, Nico; Song, Yunlong; Scaramuzza, Davide (2024). Contrastive Initial State Buffer for Reinforcement Learning. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13 May 2024 - 17 May 2024. IEEE, 2866-2872.
Xing, Jiaxu; Bauersfeld, Leonard; Song, Yunlong; Xing, Chunwei; Scaramuzza, Davide (2024). Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13 May 2024 - 17 May 2024. IEEE, 5330-5337.
Gassner, Niklas; Mazumder, Abhinaba; Rosenthal, Joachim; Sutton, Abigail (2024). An Approach to Constructing Convolutional Codes With Moderate Density and Quasi-Cyclic Structure. IFAC-PapersOnLine, 58(17):304-309.
Hanover, Drew; Loquercio, Antonio; Bauersfeld, Leonard; Romero, Angel; Penicka, Robert; Song, Yunlong; Cioffi, Giovanni; Kaufmann, Elia; Scaramuzza, Davide (2024). Autonomous Drone Racing: A Survey. IEEE Transactions on Robotics, 40:3044-3067.
Sommerhalder, Michael; Zimmermann, Yves; Riener, Robert; Wolf, Peter (2023). Cooperative Goal Generation for Reaching Tasks in Robot-Assisted Rehabilitation. In: 2023 International Conference on Rehabilitation Robotics, Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, online.
Breuss, Alexander; Suter, Zelio; Fujs, Manuel; Riener, Robert (2023). Enhancing Sleep Quality with Closed-Loop Autotuning of a Robotic Bed. In: 2023 International Conference on Rehabilitation Robotics, Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, onlin.
Amos, Giulia; Rode, David; Maffiuletti, Nicola A; Bizzini, Mario; Mauch, Marlene; Easthope, Chris Awai; Haufe, Florian; Xiloyannis, Michele; Wolf, Peter; Riener, Robert (2023). Gamification of Physical Therapy Exercises Using Commercial Entertainment Content: A Safety and Feasibility Study. In: 2023 International Conference on Rehabilitation Robotics, Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, online.
Koginov, Gleb; Wolf, Peter; Schmidt, Kai; Duarte, Jaime E; Riener, Robert (2023). Guided Exploration Leads to Faster Familiarization with a Wearable Robot: First Results of an Innovative Protocol. In: 2023 International Conference on Rehabilitation Robotics, Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, online.
Ejtehadi, Mehdi; Amrein, Sabrina; Hoogland, Inge Eriks; Riener, Robert; Paez-Granados, Diego (2023). Learning Activities of Daily Living from Unobtrusive Multimodal Wearables: Towards Monitoring Outpatient Rehabilitation. In: 2023 International Conference on Rehabilitation Robotics, Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, online.
Basla, Chiara; Chee, Lauren; Valle, Giacomo; Crema, Andrea; Micera, Silvestro; Riener, Robert; Raspopovic, Stanisa (2023). Sensory-Motor Neurostimulation to Enhance Exosuit Performance. In: 2023 International Conference on Rehabilitation Robotics, Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, online.
Gnarra, Oriella; Breuss, Alexander; Rossi, Lorenzo; Fujs, Manuel; Knobel, Samuel E J; Warncke, Jan D; Gerber, Stephan M; Bassetti, Claudio L A; Riener, Robert; Nef, Tobias; Schmidt, Markus H (2023). Transferability of a Sensing Mattress for Posture Classification from Research into Clinics. In: 2023 International Conference on Rehabilitation Robotics, Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, online.
Mayrhuber, Laura; Lestoille, Mathilde; Andres, Sebastian D; Held, Jeremia P O; Luft, Andreas R; Ryser, Franziska; Gassert, Roger; Easthope, Chris Awai; Lambercy, Olivier (2023). Movement Reminders to Encourage Arm Use During Daily Life in Stroke Patients. In: 2023 International Conference on Rehabilitation Robotics (ICORR), Singapore, 24 September 2023 - 28 September 2023, Institute of Electrical and Electronics Engineers.
Heitz, Lucien; Lischka, Juliane A; Abdullah, Rana; Laugwitz, Laura; Meyer, Hendrik; Bernstein, Abraham (2023). Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study. In: RecSys '23: Seventeenth ACM Conference on Recommender Systems, Singapore Singapore, 18 September 2023 - 22 September 2023. ACM Digital library, 813-819.
Ionescu, Stefania; Hannak, Aniko; Pagan, Nicolo (2023). Group Fairness for Content Creators: the Role of Human and Algorithmic Biases under Popularity-based Recommendations. In: RecSys '23: 17th ACM Conference on Recommender Systems, Singapore, 18 September 2023 - 22 September 2023. ACM Digital library, 863-870.
van Dellen, Florian; Vazquez, Cristina Gallego; Labruyère, Rob (2023). 1D-Convolutional Neural Networks can Quantify Therapy Content of Children and Adolescents Walking in a Robot-Assisted Gait Trainer. In: IEEE International Conference on Rehabilitation Robotics (ICORR), Singapore, 24 September 2023 - 28 September 2023. Institute of Electrical and Electronics Engineers, 1.
Dittli, Jan; Goikoetxea-Sotelo, Gaizka; Lieber, Jan; Gassert, Roger; Meyer-Heim, Andreas; van Hedel, Hubertus J A; Lambercy, Olivier (2023). A Tailorable Robotic Hand Orthosis to Support Children with Neurological Hand Impairments: a Case Study in a Child's Home. In: 2023 International Conference on Rehabilitation Robotics (ICORR), Singapore, 24 September 2023 - 28 September 2023, Institute of Electrical and Electronics Engineers.
Forrai, Benedek; Miki, Takahiro; Gehrig, Daniel; Hutter, Marco; Scaramuzza, Davide (2023). Event-based Agile Object Catching with a Quadrupedal Robot. In: 2023 IEEE International Conference on Robotics and Automation, ICRA 2023, London, United Kingdom of Great Britain and Northern Ireland, 29 May 2023 - 2 June 2023. Institute of Electrical and Electronics Engineers, 12177-12183.
Bauersfeld, Leonard; Kaufmann, Elia; Scaramuzza, Davide (2023). User-Conditioned Neural Control Policies for Mobile Robotics. In: 2023 IEEE International Conference on Robotics and Automation, ICRA 2023, London, United Kingdom of Great Britain and Northern Ireland, 29 May 2023 - 2 June 2023. Institute of Electrical and Electronics Engineers, 1342-1348.
Heetmeyer, Frederik; Paluch, Marcin; Bolliger, Diego; Bolli, Florian; Deng, Xiang; Filicicchia, Ennio; Delbruck, Tobi (2023). RPGD: A Small-Batch Parallel Gradient Descent Optimizer with Explorative Resampling for Nonlinear Model Predictive Control. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May 2023 - 2 June 2023, Institute of Electrical and Electronics Engineers.
Cioffi, Giovanni; Bauersfeld, Leonard; Kaufmann, Elia; Scaramuzza, Davide (2023). Learned Inertial Odometry for Autonomous Drone Racing. IEEE Robotics and Automation Letters, 8(5):2684-2691.
Salzmann, Tim; Kaufmann, Elia; Arrizabalaga, Jon; Pavone, Marco; Scaramuzza, Davide; Ryll, Markus (2023). Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics and Automation Letters, 8(4):2397-2404.
Scaramuzza, Davide; Kaufmann, Elia (2023). Learning Agile, Vision-Based Drone Flight: From Simulation to Reality. In: 18th International Symposium of Robotics Research, ISRR 2022, Geneva, Switzerland, 25 September 2022 - 30 September 2022. Springer (Bücher), 11-18.
Klenk, Simon; Koestler, Lukas; Scaramuzza, Davide; Cremers, Daniel (2023). E-NeRF: Neural Radiance Fields From a Moving Event Camera. IEEE Robotics and Automation Letters, 8(3):1587-1594.
Xing, Jiaxu; Cioffi, Giovanni; Hidalgo-Carrio, Javier; Scaramuzza, Davide (2023). Autonomous Power Line Inspection with Drones via Perception-Aware MPC. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, Detroit, MI, United States of America, 1 October 2023 - 5 October 2023. Institute of Electrical and Electronics Engineers, 1086-1093.
Kastrati, Ard; Płomecka, Martyna Beata; Küchler, Joël; Langer, Nicolas; Wattenhofer, Roger (2023). Electrode clustering and bandpass analysis of eeg data for gaze estimation. Proceedings of Machine Learning Research (PMLR), 210:50-65.
Zhang, Lintong; Helmberger, Michael; Fu, Lanke Frank Tarimo; Wisth, David; Camurri, Marco; Scaramuzza, Davide; Fallon, Maurice (2023). Hilti-Oxford Dataset: A Millimeter-Accurate Benchmark for Simultaneous Localization and Mapping. IEEE Robotics and Automation Letters, 8(1):408-415.
Keurti, Hamza; Pan, Hsiao-Ru; Besserve, Michel; Grewe, Benjamin; Schölkopf, Bernhard (2023). Homomorphism AutoEncoder — Learning Group Structured Representations from Observed Transitions. In: 40th International Conference on Machine Learning, Honolulu, Hawaii, USA, 23 July 2023 - 29 July 2023. MLResearch Press, 16190-16215.
Fu, Jiawei; Song, Yunlong; Wu, Yan; Yu, Fisher; Scaramuzza, Davide (2023). Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, Detroit, MI, United States of America, 1 October 2023 - 5 October 2023. Institute of Electrical and Electronics Engineers, 5243-5250.
Song, Yunlong; Shi, Kexin; Penicka, Robert; Scaramuzza, Davide (2023). Learning Perception-Aware Agile Flight in Cluttered Environments. In: 2023 IEEE International Conference on Robotics and Automation, ICRA 2023, London, United Kingdom of Great Britain and Northern Ireland, 29 May 2023 - 2 June 2023. Institute of Electrical and Electronics Engineers, 1989-1995.
Inel, Oana; Mattis, Nicolas; Norkute, Milda; Piscopo, Alessandro; Schmude, Timothée; Vrijenhoek, Sanne; Balog, Krisztian (2023). QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems. In: Proceedings of the 17th ACM Conference on Recommender Systems, Singapore, 18 September 2023 - 22 September 2023. ACM Digital library, 1241-1243.
Wiedemann, Nina; Wuest, Valentin; Loquercio, Antonio; Muller, Matthias; Floreano, Dario; Scaramuzza, Davide (2023). Training Efficient Controllers via Analytic Policy Gradient. In: 2023 IEEE International Conference on Robotics and Automation, ICRA 2023, London, United Kingdom, 29 May 2023 - 2 June 2023. Institute of Electrical and Electronics Engineers, 1349-1356.
Romero, Angel; Govil, Shreedhar; Yilmaz, Gonca; Song, Yunlong; Scaramuzza, Davide (2023). Weighted Maximum Likelihood for Controller Tuning. In: 2023 IEEE International Conference on Robotics and Automation, ICRA 2023, London, United Kingdom of Great Britain and Northern Ireland, 29 May 2023 - 2 June 2023. Institute of Electrical and Electronics Engineers, 1334-1341.
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Sun, Sihao; Romero, Angel; Foehn, Philipp; Kaufmann, Elia; Scaramuzza, Davide (2022). A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. IEEE Transactions on Robotics, 38(6):3357-3373.
Espin López, Juan M; Huertas Celdrán, Alberto; Esquembre, Francisco; Pérez, Gregorio Martínez; Marín-Blázquez, Javier G (2022). A Supervised ML Biometric Continuous Authentication System for Industry 4.0. IEEE Transactions on Industrial Informatics, 18(12):9132-9140.
Romero, Angel; Sun, Sihao; Foehn, Philipp; Scaramuzza, Davide (2022). Model Predictive Contouring Control for Time-Optimal Quadrotor Flight. IEEE Transactions on Robotics, 38(6):3340-3356.
Polizzi, Vincenzo; Hewitt, Robert; Hidalgo-Carrio, Javier; Delaune, Jeff; Scaramuzza, Davide (2022). Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry. IEEE Robotics and Automation Letters, 7(4):10681-10688.
Mahlknecht, Florian; Gehrig, Daniel; Nash, Jeremy; Rockenbauer, Friedrich M; Morrell, Benjamin; Delaune, Jeff; Scaramuzza, Davide (2022). Exploring Event Camera-Based Odometry for Planetary Robots. IEEE Robotics and Automation Letters, 7(4):8651-8658.
Schiller, Eryk; Esati, Elfat; Stiller, Burkhard (2022). IoT-Based Access Management Supported by AI and Blockchains. Electronics, 11(18):2971.
Munasinghe, Charith; Amin, Fatemeh Mohammadi; Scaramuzza, Davide; van de Venn, Hans Wernher (2022). COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation. In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany, 6 September 2022 - 9 September 2022. Institute of Electrical and Electronics Engineers, 1-4.
Orlandi, Mattia; Zanghieri, Marcello; Schiavone, Davide; Donati, Elisa; Conti, Francesco; Benatti, Simone (2022). Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition. In: Valle, Maurizio; et al. Advances in System-Integrated Intelligence : Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy. Cham: Springer, 518-529.
Chen, Guang; Qu, Sanqing; Li, Zhijun; Zhu, Haitao; Dong, Jiaxuan; Liu, Min; Conradt, Jorg (2022). Neuromorphic Vision-Based Fall Localization in Event Streams With Temporal–Spatial Attention Weighted Network. IEEE Transactions on Cybernetics, 52(9):9251-9262.
Breuss, A; Vonau, N; Ungricht, C; Schwarz, E; Irion, M; Bradicich, M; Grewe, F A; Liechti, S; Thiel, S; Kohler, M; Riener, R; Wilhelm, E (2022). Sleep Position Detection for Closed-Loop Treatment of Sleep-Related Breathing Disorders. IEEE International Conference on Rehabilitation Robotics. Proceedings, 2022:1-6.
Kaufmann, Elia; Bauersfeld, Leonard; Scaramuzza, Davide (2022). A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. In: 39th IEEE International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, United States of America, 23 May 2022 - 27 May 2022. Institute of Electrical and Electronics Engineers, 10504-10510.
Basla, Chiara; Georgarakis, Anna-Maria; Reichmuth, Markus; Chen, Haotian; Wolf, Peter; Lacour, Stephanie; Riener, Robert; Xiloyannis, Michele (2022). A stretchable sensor for force estimation in soft wearable robots. IEEE International Conference on Rehabilitation Robotics. Proceedings, 2022:9896479-1-6.
Sommerhalder, Michael; Kurth, Nico; Song, Jaeyong; Riener, Robert (2022). ARMStick - An Intuitive Therapist Interface for Upper-Limb Rehabilitation Robots. IEEE International Conference on Rehabilitation Robotics. Proceedings, 2022:9896409-1-6.
Dittli, Jan; Vasileiou, Christos; Asanovski, Hidajet; Lieber, Jan; Lin, Jeremy B; Meyer-Heim, Andreas; Van Hedel, Hubertus J A; Gassert, Roger; Lambercy, Olivier (2022). Design of a compliant, stabilizing wrist mechanism for a pediatric hand exoskeleton. In: 2022 International Conference on Rehabilitation Robotics (ICORR), Rotterdam, The Netherlands, 25 July 2022 - 29 July 2022. Institute of Electrical and Electronics Engineers, 1-6.
Zimmermann, Yves; Sommerhalder, Michael; Song, Jaeyong; Etter, Blaise; Kucuktabak, Emek Baris; Riener, Robert; Wolf, Peter (2022). Digital Guinea Pig: Merits and Methods of Human-in-the-Loop Simulation for Upper-Limb Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Proceedings, 2022:1-6.
Penicka, Robert; Song, Yunlong; Kaufmann, Elia; Scaramuzza, Davide (2022). Learning Minimum-Time Flight in Cluttered Environments. IEEE Robotics and Automation Letters, 7(3):7209-7216.
Helmberger, Michael; Morin, Kristian; Berner, Beda; Kumar, Nitish; Cioffi, Giovanni; Scaramuzza, Davide (2022). The Hilti SLAM Challenge Dataset. IEEE Robotics and Automation Letters, 7(3):7518-7525.
Romero, Angel; Penicka, Robert; Scaramuzza, Davide (2022). Time-Optimal Online Replanning for Agile Quadrotor Flight. IEEE Robotics and Automation Letters, 7(3):7730-7737.
Sovrano, Francesco; Raymond, Alex; Prorok, Amanda (2022). Explanation-Aware Experience Replay in Rule-Dense Environments. IEEE Robotics and Automation Letters, 7(2):898-905.
Schiller, Eryk; Huber, Ramon; Stiller, Burkhard (2022). Python-Based TinyIPFIX in Wireless Sensor Networks. Electronics, 11(3):472.
Chimal-Dzul, Henry; Gassner, Niklas; Rosenthal, Joachim; Schnyder, Reto (2022). Efficient Description of some Classes of Codes using Group Algebras. IFAC-PapersOnLine, 55(30):7-12.
Chimal-Dzul, Henry; Lieb, Julia; Rosenthal, Joachim (2022). Generator Matrices of Quasi-cyclic Codes over Extension Fields Obtained from Gröbner Basis. IFAC-PapersOnLine, 55(30):61-66.
Sun, Sihao; Cioffi, Giovanni; de Visser, Coen; Scaramuzza, Davide (2022). Autonomous Quadrotor Flight Despite Rotor Failure With Onboard Vision Sensors: Frames vs. Events. IEEE Robotics and Automation Letters, 6(2):580-587.
Messikommer, Nico; Gehrig, Daniel; Gehrig, Mathias; Scaramuzza, Davide (2022). Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics and Automation Letters, 7(2):3515-3522.
Gehrig, Daniel; Ruegg, Michelle; Gehrig, Mathias; Hidalgo-Carrio, Javier; Scaramuzza, Davide (2022). Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. IEEE Robotics and Automation Letters, 6(2):2822-2829.
Cioffi, Giovanni; Cieslewski, Titus; Scaramuzza, Davide (2022). Continuous-Time Vs. Discrete-Time Vision-Based SLAM: A Comparative Study. IEEE Robotics and Automation Letters, 7(2):2399-2406.
Gehrig, Mathias; Aarents, Willem; Gehrig, Daniel; Scaramuzza, Davide (2022). DSEC: A Stereo Event Camera Dataset for Driving Scenarios. IEEE Robotics and Automation Letters, 6(3):4947-4954.
Torrente, Guillem; Kaufmann, Elia; Föhn, Philipp; Scaramuzza, Davide (2022). Data-Driven MPC for Quadrotors. IEEE Robotics and Automation Letters, 6(2):3769-3776.
Pfeiffer, Christian; Scaramuzza, Davide (2022). Human-Piloted Drone Racing: Visual Processing and Control. IEEE Robotics and Automation Letters, 6(2):3467-3474.
Rezayati, Maryam; Zanni, Grammatiki; Zaoshi, Ying; Scaramuzza, Davide; Van De Venn, Hans Wernher (2022). Improving safety in physical human-robot collaboration via deep metric learning. In: 27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, 6 September 2022 - 9 September 2022. Institute of Electrical and Electronics Engineers Inc., online.
Paneque, Julio L; Dios, Jose Ramiro Martinez-de; Ollero, Anibal; Hanover, Drew; Sun, Sihao; Romero, Angel; Scaramuzza, Davide (2022). Perception-Aware Perching on Powerlines With Multirotors. IEEE Robotics and Automation Letters, 7(2):3077-3084.
Hanover, Drew; Foehn, Philipp; Sun, Sihao; Kaufmann, Elia; Scaramuzza, Davide (2022). Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. IEEE Robotics and Automation Letters, 7(2):690-697.
Bauersfeld, Leonard; Scaramuzza, Davide (2022). Range, Endurance, and Optimal Speed Estimates for Multicopters. IEEE Robotics and Automation Letters, 7(2):2953-2960.
Fuchs, Florian; Song, Yunlong; Kaufmann, Elia; Scaramuzza, Davide; Durr, Peter (2022). Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. IEEE Robotics and Automation Letters, 6(3):4257-4264.
Lieb, Julia; Rosenthal, Joachim (2021). Erasure decoding of convolutional codes using first-order representations. Mathematics of Control, Signals, and Systems, 33(3):499-513.
d’Errico, Maria; Facco, Elena; Laio, Alessandro; Rodriguez, Alex (2021). Automatic topography of high-dimensional data sets by non-parametric density peak clustering. Information Sciences, 560:476-492.
Stagsted, R K; Vitale, A; Renner, A; Larsen, L B; Christensen, A L; Sandamirskaya, Yulia (2020). Event-based PID controller fully realized in neuromorphic hardware: a one DoF study. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 25 October 2020 - 29 October 2020, IEEE.
Sanket, Nitin J; Parameshwara, Chethan M; Singh, Chahat Deep; Kuruttukulam, Ashwin V; Fermuller, Cornelia; Scaramuzza, Davide; Aloimonos, Yiannis (2020). EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 1 July 2020 - 1 October 2020. IEEE, 10651-10657.
Gehrig, Mathias; Shrestha, Sumit Bam; Mouritzen, Daniel; Scaramuzza, Davide (2020). Event-Based Angular Velocity Regression with Spiking Networks. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 1 July 2020 - 1 October 2020. IEEE, 4195-4202.
Kuo, Juichung; Muglikar, Manasi; Zhang, Zichao; Scaramuzza, Davide (2020). Redesigning SLAM for Arbitrary Multi-Camera Systems. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 1 July 2020 - 1 October 2020. IEEE, 2116-2122.
Dimitrova, Rika Sugimoto; Gehrig, Mathias; Brescianini, Dario; Scaramuzza, Davide (2020). Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 1 July 2020 - 1 October 2020. IEEE, 4294-4300.
Muglikar, Manasi; Zhang, Zichao; Scaramuzza, Davide (2020). Voxel Map for Visual SLAM. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 1 July 2020 - 1 October 2020. IEEE, 4181-4187.
Gao, Chang; Gehlhar, Rachel; Ames, Aaron D; Liu, Shih-Chii; Delbruck, Tobi (2020). Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 31 May 2020 - 31 August 2020, IEEE.
Curtin, Ryan R; Moseley, Benjamin; Ngo, Hung Q; Nguyen, Xuanlong; Olteanu, Dan; Schleich, Maximilian (2020). Rk-means: Fast Clustering for Relational Data. In: The 23rd International Conference on Artificial Intelligence and Statistics, {AISTATS} 2020, Online [Palermo, Sicily, Italy], 26 August 2020 - 28 August 2020. MLResearch Press, 2742-2752.
Asperti, Andrea; Cortesi, Daniele; De Pieri, Carlo; Pedrini, Gianmaria; Sovrano, Francesco (2020). Crawling in Rogue's Dungeons With Deep Reinforcement Techniques. IEEE Transactions on Games, 12(2):177-186.
Loianno, Giuseppe; Scaramuzza, Davide (2020). Editorial: Special issue on future challenges and opportunities in vision‐based drone navigation. Journal of Field Robotics, 37(4):495-496.
Xu, Shuqi; Zhang, Qianming; Lü, Linyuan; Mariani, Manuel (2020). Recommending investors for new startups by integrating network diffusion and investors’ domain preference. Information Sciences, 515:103-115.
Lustenberger, Michael; Spychiger, Florian; Malesevic, Sasa (2020). Towards a better understanding of the value of blockchains in supply chain management. In: Spychiger, Florian. Digitalisierung in der Praxis. Switzerland: Springer, 101-112.
Loquercio, Antonio; Segu, Mattia; Scaramuzza, Davide (2020). A General Framework for Uncertainty Estimation in Deep Learning. IEEE Robotics and Automation Letters, 5(2):3153-3160.
Oertel, Amadeus; Cieslewski, Titus; Scaramuzza, Davide (2020). Augmenting Visual Place Recognition With Structural Cues. IEEE Robotics and Automation Letters, 5(4):5534-5541.
Loquercio, Antonio; Kaufmann, Elia; Ranftl, Rene; Dosovitskiy, Alexey; Koltun, Vladlen; Scaramuzza, Davide (2020). Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Transactions on Robotics, 36(1):1-14.
Loquercio, Antonio; Dosovitskiy, Alexey; Scaramuzza, Davide (2020). Learning Depth With Very Sparse Supervision. IEEE Robotics and Automation Letters, 5(4):5542-5549.
Gomez-Ojeda, Ruben; Moreno, Francisco-Angel; Zuniga-Noel, David; Scaramuzza, Davide; Gonzalez-Jimenez, Javier (2020). PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments. IEEE Transactions on Robotics, 35(3):734-746.
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