Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,632)
Clear ✕Hybrid Physical Metric For 6-DoF Grasp Pose Detection
Yuhao Lu, Beixing Deng, Zhenyu Wang +3 more
2022
A Dynamic Data Driven Approach for Explainable Scene Understanding
Zachary A Daniels, Dimitris Metaxas
2022
N$^2$M$^2$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen, Tianhao Wu, Shengjie Wang +8 more
2022
VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation
Kaizhi Zheng, Xiaotong Chen, Odest Chadwicke Jenkins +1 more
2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee +1 more
2022
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation
Yingwei Pan, Yehao Li, Yiheng Zhang +5 more
2022
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann +3 more
2022
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel +2 more
2022
Precise Affordance Annotation for Egocentric Action Video Datasets
Zecheng Yu, Yifei Huang, Ryosuke Furuta +3 more
2022
Tensor Train for Global Optimization Problems in Robotics
Suhan Shetty, Teguh Lembono, Tobias Loew +1 more
2022
Meta-Learning Parameterized Skills
Haotian Fu, Shangqun Yu, Saket Tiwari +2 more
2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
Yecheng Jason Ma, Jason Yan, Dinesh Jayaraman +1 more
2022
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
Zixuan Huang, Xingyu Lin, David Held
2022
Efficient entity-based reinforcement learning
Vince Jankovics, Michael Garcia Ortiz, Eduardo Alonso
2022
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Yiwen Chen, Xue Li, Sheng Guo +2 more
2022
ARC - Actor Residual Critic for Adversarial Imitation Learning
Ankur Deka, Changliu Liu, Katia Sycara
2022
Developing hierarchical anticipations via neural network-based event segmentation
Christian Gumbsch, Maurits Adam, Birgit Elsner +2 more
2022
Reinforcement Learning with Neural Radiance Fields
Danny Driess, Ingmar Schubert, Pete Florence +2 more
2022
Active Inference for Robotic Manipulation
Tim Schneider, Boris Belousov, Hany Abdulsamad +1 more
2022
Evaluating Gaussian Grasp Maps for Generative Grasping Models
William Prew, Toby P. Breckon, Magnus Bordewich +1 more
2022
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
Maximilian Du, Olivia Y. Lee, Suraj Nair +1 more
2022
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
Moritz Reuss, Niels van Duijkeren, Robert Krug +3 more
2022
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping
Yunsik Jung, Lingfeng Tao, Michael Bowman +2 more
2022