Robotics

PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds CoRL 2024 Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification AAAI 2024 Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation CoRL 2024 PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators CoRL 2024 Position: Automatic Environment Shaping is the Next Frontier in RL ICML 2024 Position: Do Not Explain Vision Models Without Context ICML 2024 Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation ICML 2024 Position: Video as the New Language for Real-World Decision Making ICML 2024 Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation NeurIPS 2024 Potential Based Diffusion Motion Planning ICML 2024 Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024 Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation MIDL 2024 Predictive Linear Online Tracking for Unknown Targets ICML 2024 Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents CoRL 2024 Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss ICML 2024 PressureVision++: Estimating Fingertip Pressure From Diverse RGB Images WACV 2024 Pre-trained Visual Dynamics Representations for Efficient Policy Learning ECCV 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control ICML 2024 Privileged Sensing Scaffolds Reinforcement Learning ICLR 2024 Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024 Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds L4DC 2024 Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization ICML 2024 Provably Safe Neural Network Controllers via Differential Dynamic Logic NeurIPS 2024 Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics ICML 2024