Papers
959 papers found
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
Tai Wang, Xinge Zhu, Dahua Lin
Recovering and Simulating Pedestrians in the Wild
Ze Yang, Sivabalan Manivasagam, Ming Liang et al.
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis et al.
Relational Learning for Skill Preconditions
Mohit Sharma, Oliver Kroemer
Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
Jarrett Holtz, Arjun Guha, Joydeep Biswas
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
Bryan Chen, Alexander Sax, Francis Lewis et al.
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach
Kartik Paigwar, Lokesh Krishna, sashank tirumala et al.
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Yufei Wang, Narasimhan Gautham, Xingyu Lin et al.
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds
Ran Cheng, Christopher Agia, Yuan Ren et al.
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
Mel Vecerik, Jean-Baptiste Regli, Oleg Sushkov et al.
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
Marcus Pereira, Ziyi Wang, Ioannis Exarchos et al.
Safe Policy Learning for Continuous Control
Yinlam Chow, Ofir Nachum, Aleksandra Faust et al.
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino et al.
Sample-efficient Cross-Entropy Method for Real-time Planning
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes et al.
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
Thomas Lew, Marco Pavone
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
Albert Zhao, Tong He, Yitao Liang et al.
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation
Jiexiong Tang, Rares Ambrus, Vitor Guizilini et al.
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
Son Nguyen, Ozgur Oguz, Valentin Hartmann et al.
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner et al.
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
Yan Xu, Zhaoyang Huang, Kwan-Yee Lin et al.
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays
Sandeep Singh Sandha, Luis Garcia, Bharathan Balaji et al.
Sim-to-Real Transfer for Vision-and-Language Navigation
Peter Anderson, Ayush Shrivastava, Joanne Truong et al.
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella et al.
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
Bruno Ferreira de Brito, Hai Zhu, Wei Pan et al.
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Xingyu Lin, Yufei Wang, Jake Olkin et al.