Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,632)
Clear ✕MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran +1 more
2023
ORLA*: Mobile Manipulator-Based Object Rearrangement with Lazy A Star
Kai Gao, Zhaxizhuoma, Yan Ding +2 more
2023
Pick Planning Strategies for Large-Scale Package Manipulation
Shuai Li, Azarakhsh Keipour, Kevin Jamieson +4 more
2023
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
Chethan Bhateja, Derek Guo, Dibya Ghosh +6 more
2023
Robotic Handling of Compliant Food Objects by Robust Learning from Demonstration
Ekrem Misimi, Alexander Olofsson, Aleksander Eilertsen +2 more
2023
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi +3 more
2023
ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals
Jeremy A. Collins, Cody Houff, You Liang Tan +1 more
2023
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