Papers
959 papers found
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher Diehl, Tobias Klosek, Martin Krueger et al.
Equivariant Motion Manifold Primitives
Byeongho Lee, Yonghyeon Lee, Seungyeon Kim et al.
Equivariant Reinforcement Learning under Partial Observability
Hai Huu Nguyen, Andrea Baisero, David Klee et al.
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning
Robert Gieselmann, Florian T. Pokorny
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar et al.
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment
Vitalis Vosylius, Edward Johns
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
H.J. Terry Suh, Glen Chou, Hongkai Dai et al.
FindThis: Language-Driven Object Disambiguation in Indoor Environments
Arjun Majumdar, Fei Xia, Brian Ichter et al.
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks
Orr Krupnik, Elisei Shafer, Tom Jurgenson et al.
Finetuning Offline World Models in the Real World
Yunhai Feng, Nicklas Hansen, Ziyan Xiong et al.
Fleet Active Learning: A Submodular Maximization Approach
Oguzhan Akcin, Orhan Unuvar, Onat Ure et al.
FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection
Harry Zhang, Ben Eisner, David Held
General In-hand Object Rotation with Vision and Touch
Haozhi Qi, Brent Yi, Sudharshan Suresh et al.
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Pierce Howell, Max Rudolph, Reza Joseph Torbati et al.
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Yasasa Abeysirigoonawardena, Kevin Xie, Chuhan Chen et al.
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models
Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen et al.
Geometry Matching for Multi-Embodiment Grasping
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu et al.
Gesture-Informed Robot Assistance via Foundation Models
Li-Heng Lin, Yuchen Cui, Yilun Hao et al.
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Yanjie Ze, Ge Yan, Yueh-Hua Wu et al.
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Vivek Myers, Andre Wang He, Kuan Fang et al.
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments
Jason Xinyu Liu, Ziyi Yang, Ifrah Idrees et al.
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
Wenxuan Zhou, Bowen Jiang, Fan Yang et al.
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation
Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar et al.
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees
Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé et al.
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model
Matan Sudry, Tom Jurgenson, Aviv Tamar et al.