Robotics

ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces IJCAI 2024 Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024 ClutterGen: A Cluttered Scene Generator for Robot Learning CoRL 2024 Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes RSS 2024 Combining model-based controller and ML advice via convex reparameterization L4DC 2024 Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Configuration Space Distance Fields for Manipulation Planning RSS 2024 Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions RSS 2024 Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation RSS 2024 Constrained Intrinsic Motivation for Reinforcement Learning IJCAI 2024 ConTac: Continuum-Emulated Soft Skinned Arm with Vision-based Shape Sensing and Contact-aware Manipulation RSS 2024 Continuous Control with Coarse-to-fine Reinforcement Learning CoRL 2024 Continuously Improving Mobile Manipulation with Autonomous Real-World RL CoRL 2024 Contrast Sets for Evaluating Language-Guided Robot Policies CoRL 2024 Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024 CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics NeurIPS 2024 Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning ICML 2024 CraterGrader: Autonomous Robotic Terrain Manipulation for Lunar Site Preparation and Earthmoving RSS 2024 CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024 CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024 CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation CVPR 2024 Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control L4DC 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning ICML 2024 Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024 Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NeurIPS 2024