Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,629)
Clear ✕MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Li, Abhishek Gupta, Ashwin Reddy +4 more
2021
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint
2021
SynPick: A Dataset for Dynamic Bin Picking Scene Understanding
Arul Selvam Periyasamy, Max Schwarz, Sven Behnke
2021
3D Neural Scene Representations for Visuomotor Control
Yunzhu Li, Shuang Li, Vincent Sitzmann +2 more
2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H. Pong, Ashvin Nair, Laura Smith +2 more
2021
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?
Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat
2021
GraspME -- Grasp Manifold Estimator
Janik Hager, Ruben Bauer, Marc Toussaint +1 more
2021
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
Abdalkarim Mohtasib, Amir Ghalamzan E., Nicola Bellotto +1 more
2021
Active Learning of Abstract Plan Feasibility
Michael Noseworthy, Caris Moses, Isaiah Brand +4 more
2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation
Lin Yen-Chen, Andy Zeng, Shuran Song +2 more
2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen, Hao Su, Xiaolong Wang
2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
Grace Zhang, Linghan Zhong, Youngwoon Lee +1 more
2021
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
Thomas Kollar, Michael Laskey, Kevin Stone +2 more
2021
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
Christopher Xie, Arsalan Mousavian, Yu Xiang +1 more
2021
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
Kaichun Mo, Yuzhe Qin, Fanbo Xiang +2 more
2021
One-Shot Affordance Detection
Hongchen Luo, Wei Zhai, Jing Zhang +2 more
2021
SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation
Haitao Lin, Zichang Liu, Chilam Cheang +3 more
2021
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice
Nirbhay Modhe, Harish Kamath, Dhruv Batra +1 more
2021
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
Andrew S. Morgan, Bowen Wen, Junchi Liang +3 more
2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang, Yuke Zhu, Silvio Savarese +1 more
2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Stephen James, Kentaro Wada, Tristan Laidlow +1 more
2021
Development of a conversing and body temperature scanning autonomously navigating robot to help screen for COVID-19
Ryan Kim
2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan, Guanzhi Wang, De-An Huang +4 more
2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model
Chongkai Gao, Haichuan Gao, Shangqi Guo +2 more
2021