Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
MANIPULATION papers(59,525)
Clear ✕See to Touch: Learning Tactile Dexterity through Visual Incentives
Irmak Guzey, Yinlong Dai, Ben Evans +2 more
2023
Uncertainty-driven Exploration Strategies for Online Grasp Learning
Yitian Shi, Philipp Schillinger, Miroslav Gabriel +4 more
2023
State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping
Panagiotis Petropoulakis, Ludwig Gräf, Mohammadhossein Malmir +2 more
2023
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
Floris Erich, Naoya Chiba, Yusuke Yoshiyasu +3 more
2023
Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots
Hongrui Yu, Vineet R. Kamat, Carol C. Menassa
2023
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Tianbao Xie, Siheng Zhao, Chen Henry Wu +5 more
2023
Model-free tracking control of complex dynamical trajectories with machine learning
Zheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong +3 more
2023
EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning
Kallol Saha, Vishal Mandadi, Jayaram Reddy +5 more
2023
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling
Wenjun Huang, Yunduan Cui, Huiyun Li +1 more
2023
LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning
Dongliang Zheng, Panagiotis Tsiotras
2023
Learning Orbitally Stable Systems for Diagrammatically Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
2023
One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers
Abraham George, Amir Barati Farimani
2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar, Quan Vuong, Alex Irpan +17 more
2023
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
An Dinh Vuong, Minh Nhat Vu, Hieu Le +5 more
2023
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Kazuto Nakashima, Ryo Kurazume
2023
Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place
Wenxing Liu, Hanlin Niu, Robert Skilton +1 more
2023
Intelligent machines work in unstructured environments by differential neuromorphic computing
Shengbo Wang, Shuo Gao, Chenyu Tang +9 more
2023
Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
2023
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation
Alison Bartsch, Charlotte Avra, Amir Barati Farimani
2023
HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan +2 more
2023
Learning Quasi-Static 3D Models of Markerless Deformable Linear Objects for Bimanual Robotic Manipulation
Piotr Kicki, Michał Bidziński, Krzysztof Walas
2023
Naturalistic Robot Arm Trajectory Generation via Representation Learning
Jayjun Lee, Adam J. Spiers
2023
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
Ruihai Wu, Kai Cheng, Yan Shen +3 more
2023
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Chuanruo Ning, Ruihai Wu, Haoran Lu +2 more
2023