Robotics Domain
Robotics research currently focuses on enhancing robot autonomy, safety, and dexterity, particularly in unstructured environments. Key areas include developing robust control algorithms (like Model Predictive Control and reinforcement learning), improving perception through advanced sensor fusion and generative models, and creating more efficient and adaptable robot designs. These advancements are driving progress in diverse applications such as agriculture, healthcare, and manufacturing, ultimately aiming to create more capable and reliable robots for a wider range of tasks.
Papers
September 18, 2024
September 16, 2024
September 15, 2024
September 13, 2024
September 11, 2024
End-to-End and Highly-Efficient Differentiable Simulation for Robotics
Quentin Le Lidec, Louis Montaut, Yann de Mont-Marin, Justin Carpentier
Scenario Execution for Robotics: A generic, backend-agnostic library for running reproducible robotics experiments and tests
Frederik Pasch, Florian Mirus, Yongzhou Zhang, Kay-Ulrich Scholl
September 10, 2024
September 7, 2024
September 5, 2024
September 4, 2024
September 3, 2024
August 30, 2024
August 23, 2024
August 22, 2024
August 13, 2024
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August 7, 2024
July 29, 2024