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An End-to-End Differentiable Framework for Contact-Aware Robot Design
Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal |
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Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception
Peng Gao, Hao Zhang |
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Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu |
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On Minimizing the Number of Running Buffers for Tabletop Rearrangement
Kai Gao, Siwei Feng, Jingjin Yu |
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On complementing end-to-end human behavior predictors with planning
Liting Sun, Xiaogang Jia, Anca Dragan |
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MAGIC: Learning Macro-Actions for Online POMDP Planning
Yiyuan Lee, Panpan Cai, David Hsu |
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Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Julen Urain, Puze Liu, Anqi Li, Carlo D'Eramo, Jan Peters |
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PROMPT: Probabilistic Motion Primitives based Trajectory Planning
Tobias Loew, Tirthankar Bandyopadhyay, Jason Williams, Paulo Borges |
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Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning
Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan Hurst |
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Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
Ashkan Jasour, Weiqiao Han, Brian C. Williams |
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Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control
Thai P Duong, Nikolay A Atanasov |
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Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition
Stefan Schubert, Peer Neubert, Peter Protzel |
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Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg |
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Hierarchical Neural Dynamic Policies
Shikhar Bahl, Abhinav Gupta, Deepak Pathak |
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Moving sidewinding forward: optimizing contact patterns for limbless robots via geometric mechanics
Baxi Chong, Tianyu Wang, Bo Lin, Shengkai Li, Howie Choset, Grigoriy Blekherman, Daniel Goldman |
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Learning Instance-Level N-Ary Semantic Knowledge At Scale For Robots Operating in Everyday Environments
Weiyu Liu, Dhruva Bansal, Angel Daruna, Sonia Chernova |
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On the Importance of Environments in Human-Robot Coordination
Matthew Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis |
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Dipper: A Dynamically Transitioning Aerial-Aquatic Unmanned Vehicle
Friedrich M Rockenbauer, Simon Jeger, Liberto Beltran, Maximilian Berger, Marvin Harms, Noah Kaufmann, Marc Rauch, Moritz Reinders, Nicholas Lawrance, Thomas Stastny, Roland Siegwart |
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Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Spencer M. Richards, Navid Azizan, Jean-Jacques Slotine, Marco Pavone |
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GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels
Dylan Turpin, Liquan Wang, Stavros Tsogkas, Sven Dickinson, Animesh Garg |
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Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments
Visak C V Kumar, Sehoon Ha, C. Karen Liu |
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Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems
Augustinos D Saravanos, Alexandros Tsolovikos, Efstathios Bakolas, Evangelos Theodorou |
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Surprisingly Robust In-Hand Manipulation: An Empirical Study
Aditya Bhatt, Adrian Sieler, Steffen Puhlmann, Oliver Brock |
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