Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,629)
Clear ✕Grasp-type Recognition Leveraging Object Affordance
Naoki Wake, Kazuhiro Sasabuchi, Katsushi Ikeuchi
2020
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation
Haiyue Zhu, Yiting Li, Fengjun Bai +6 more
2020
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
Fei Xia, Chengshu Li, Roberto Martín-Martín +3 more
2020
Residual Learning from Demonstration: Adapting DMPs for Contact-rich Manipulation
Todor Davchev, Kevin Sebastian Luck, Michael Burke +3 more
2020
Model-Based Quality-Diversity Search for Efficient Robot Learning
Leon Keller, Daniel Tanneberg, Svenja Stark +1 more
2020
Grasping Field: Learning Implicit Representations for Human Grasps
Korrawe Karunratanakul, Jinlong Yang, Yan Zhang +3 more
2020
Spatio-temporal Attention Model for Tactile Texture Recognition
Guanqun Cao, Yi Zhou, Danushka Bollegala +1 more
2020
Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space
RB Ashith Shyam, Zhou Hao, Umberto Montanaro +1 more
2020
Neural Manipulation Planning on Constraint Manifolds
Ahmed H. Qureshi, Jiangeng Dong, Austin Choe +1 more
2020
Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations
Hongtao Wu, Gregory S. Chirikjian
2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
Ozsel Kilinc, Giovanni Montana
2020
A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming
George Baryannis, Ilias Tachmazidis, Sotiris Batsakis +3 more
2020
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation
Aditya Agarwal, Yupeng Han, Maxim Likhachev
2020
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition
Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov +1 more
2020
Estimating Motion Codes from Demonstration Videos
Maxat Alibayev, David Paulius, Yu Sun
2020
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation
Namdar Homayounfar, Yuwen Xiong, Justin Liang +2 more
2020
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier, Dushyant Rao, Roland Hafner +8 more
2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
2020
KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation
En Yen Puang, Keng Peng Tee, Wei Jing
2020
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Bowen Wen, Chaitanya Mitash, Baozhang Ren +1 more
2020
Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation
Kenzo Lobos-Tsunekawa, Tatsuya Harada
2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
Rohan Chitnis, Tom Silver, Beomjoon Kim +2 more
2020
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose
Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg +2 more
2020
Efficient State Abstraction using Object-centered Predicates for Manipulation Planning
Alejandro Agostini, Dongheui Lee
2020