Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,632)
Clear ✕Dynamics-Guided Diffusion Model for Sensor-less Robot Manipulator Design
Xiaomeng Xu, Huy Ha, Shuran Song
2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies
Nishanth Kumar, Tom Silver, Willie McClinton +5 more
2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Jun Wang, Yuzhe Qin, Kaiming Kuang +4 more
2024
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation
Junting Chen, Yao Mu, Qiaojun Yu +11 more
2024
A Collision-Aware Cable Grasping Method in Cluttered Environment
Lei Zhang, Kaixin Bai, Qiang Li +2 more
2024
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models
Jinyi Liu, Yifu Yuan, Jianye Hao +4 more
2024
DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models
Norman Di Palo, Edward Johns
2024
Dynamic planning in hierarchical active inference
Matteo Priorelli, Ivilin Peev Stoianov
2024
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
2024
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
Ruijie Zheng, Ching-An Cheng, Hal Daumé +2 more
2024
On the Vulnerability of LLM/VLM-Controlled Robotics
Xiyang Wu, Souradip Chakraborty, Ruiqi Xian +6 more
2024
A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents
Lingbo Mo, Zeyi Liao, Boyuan Zheng +3 more
2024
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
Wilbert Pumacay, Ishika Singh, Jiafei Duan +3 more
2024
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Soroush Nasiriany, Fei Xia, Wenhao Yu +17 more
2024
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation
Chrisantus Eze, Christopher Crick
2024
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
Feiyang Wu, Xavier Nal, Jaehwi Jang +4 more
2024
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac
2024
Jacquard V2: Refining Datasets using the Human In the Loop Data Correction Method
Qiuhao Li, Shenghai Yuan
2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan, Ziyu Wang, Yufei Wang +2 more
2024
Tactile-based Object Retrieval From Granular Media
Jingxi Xu, Yinsen Jia, Dongxiao Yang +5 more
2024
Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
Lin Guan, Yifan Zhou, Denis Liu +3 more
2024
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
Yash Shukla, Tanushree Burman, Abhishek Kulkarni +3 more
2024
Transductive Reward Inference on Graph
Bohao Qu, Xiaofeng Cao, Qing Guo +3 more
2024
Physics-Encoded Graph Neural Networks for Deformation Prediction under Contact
Mahdi Saleh, Michael Sommersperger, Nassir Navab +1 more
2024