Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,629)
Clear ✕Object Pose Estimation in Robotics Revisited
Antti Hietanen, Jyrki Latokartano, Alessandro Foi +4 more
2019
Off-Policy Evaluation via Off-Policy Classification
Alex Irpan, Kanishka Rao, Konstantinos Bousmalis +3 more
2019
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
Laurynas Miksys, Saumya Jetley, Michael Sapienza +2 more
2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
Caleb Chuck, Supawit Chockchowwat, Scott Niekum
2019
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian, Clemens Eppner, Dieter Fox
2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving
Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter
2019
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
Xinke Deng, Arsalan Mousavian, Yu Xiang +3 more
2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning
Brian Yang, Jesse Zhang, Vitchyr Pong +2 more
2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
2019
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review
Guoguang Du, Kai Wang, Shiguo Lian +1 more
2019
Let's Push Things Forward: A Survey on Robot Pushing
Jochen Stüber, Claudio Zito, Rustam Stolkin
2019
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang, Thanard Kurutach, Kara Liu +2 more
2019
Quantifying Teaching Behaviour in Robot Learning from Demonstration
Aran Sena, Matthew J Howard
2019
Support Relation Analysis for Objects in Multiple View RGB-D Images
Peng Zhang, Xiaoyu Ge, Jochen Renz
2019
Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization
Kanrun Huang, Tucker Hermans
2019
Adaptive neural network based dynamic surface control for uncertain dual arm robots
Dung Tien Pham, Thai Van Nguyen, Hai Xuan Le +5 more
2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel +1 more
2019
Tuned Inception V3 for Recognizing States of Cooking Ingredients
Kin Ng
2019
Task Planning with a Weighted Functional Object-Oriented Network
David Paulius, Kelvin Sheng Pei Dong, Yu Sun
2019
RevealNet: Seeing Behind Objects in RGB-D Scans
Ji Hou, Angela Dai, Matthias Nießner
2019
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh +4 more
2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh, Larry Yang, Kristian Hartikainen +2 more
2019
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter
Quanquan Shao, Jie Hu, Weiming Wang +4 more
2019
Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking
Quanquan Shao, Jie Hu
2019