Papers
959 papers found
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance
Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski et al.
Learning Interpretable BEV Based VIO without Deep Neural Networks
Zexi Chen, Haozhe Du, Xuecheng XU et al.
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation
Bugra Can Sefercik, Baris Akgun
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski et al.
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Danny Driess, Zhiao Huang, Yunzhu Li et al.
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang, Miao Liu, Abhinav Gupta et al.
Learning Neuro-Symbolic Skills for Bilevel Planning
Tom Silver, Ashay Athalye, Joshua B. Tenenbaum et al.
Learning Preconditions of Hybrid Force-Velocity Controllers for Contact-Rich Manipulation
Jacky Liang, Xianyi Cheng, Oliver Kroemer
Learning Representations that Enable Generalization in Assistive Tasks
Jerry Zhi-Yang He, Zackory Erickson, Daniel S. Brown et al.
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms
Jiechao Zhang, Hadi Beik Mohammadi, Leonel Rozo
Learning Road Scene-level Representations via Semantic Region Prediction
Zihao Xiao, Alan Yuille, Yi-Ting Chen
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao et al.
Learning Sampling Distributions for Model Predictive Control
Jacob Sacks, Byron Boots
Learning Semantics-Aware Locomotion Skills from Human Demonstration
Yuxiang Yang, Xiangyun Meng, Wenhao Yu et al.
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning
Jan Achterhold, Markus Krimmel, Joerg Stueckler
Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing
Mark Van der Merwe, Dmitry Berenson, Nima Fazeli
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning
Yoonchang Sung, Zizhao Wang, Peter Stone
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
Wenxuan Zhou, David Held
Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration
Kishan Dhananjay Chandan, Jack Albertson, Shiqi Zhang
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding
Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
Isabell Wochner, Pierre Schumacher, Georg Martius et al.
Legged Locomotion in Challenging Terrains using Egocentric Vision
Ananye Agarwal, Ashish Kumar, Jitendra Malik et al.
Leveraging Fully Observable Policies for Learning under Partial Observability
Hai Huu Nguyen, Andrea Baisero, Dian Wang et al.
Leveraging Language for Accelerated Learning of Tool Manipulation
Allen Z. Ren, Bharat Govil, Tsung-Yen Yang et al.