Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,709)
Clear ✕Adaptable Recovery Behaviors in Robotics: A Behavior Trees and Motion Generators(BTMG) Approach for Failure Management
Faseeh Ahmad, Matthias Mayr, Sulthan Suresh-Fazeela +1 more
2024
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
Jinyuan Feng, Min Chen, Zhiqiang Pu +2 more
2024
SAFE-GIL: SAFEty Guided Imitation Learning for Robotic Systems
Yusuf Umut Ciftci, Darren Chiu, Zeyuan Feng +2 more
2024
PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot
Shenbagaraj Kannapiran, Sreenithy Chandran, Suren Jayasuriya +1 more
2024
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
Tim Seyde, Peter Werner, Wilko Schwarting +2 more
2024
Scaling Motion Forecasting Models with Ensemble Distillation
Scott Ettinger, Kratarth Goel, Avikalp Srivastava +1 more
2024
On Extending the Automatic Test Markup Language (ATML) for Machine Learning
Tyler Cody, Bingtong Li, Peter A. Beling
2024
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer +2 more
2024
Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Samuel Tovey, Christoph Lohrmann, Christian Holm
2024
Extremum-Seeking Action Selection for Accelerating Policy Optimization
Ya-Chien Chang, Sicun Gao
2024
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
Yi Xu, Yun Fu
2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng +7 more
2024
EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +3 more
2024
Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots
Prasanna Vijayaraghavan, Jeffrey Frederic Queisser, Sergio Verduzco Flores +1 more
2024
A Peg-in-hole Task Strategy for Holes in Concrete
André Yuji Yasutomi, Hiroki Mori, Tetsuya Ogata
2024
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
Yaxu Xie, Alain Pagani, Didier Stricker
2024
Manipulating Neural Path Planners via Slight Perturbations
Zikang Xiong, Suresh Jagannathan
2024
Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies
Bo Wu, Bruce D. Lee, Kostas Daniilidis +2 more
2024
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
Saad Abdul Ghani, Zizhao Wang, Peter Stone +1 more
2024
Proprioception Is All You Need: Terrain Classification for Boreal Forests
Damien LaRocque, William Guimont-Martin, David-Alexandre Duclos +2 more
2024
Bridging the Sim-to-Real Gap with Bayesian Inference
Jonas Rothfuss, Bhavya Sukhija, Lenart Treven +3 more
2024
ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning
Yiwen Chen, Yuyao Ye, Ziyi Chen +2 more
2024
Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning
Esmaeel Mohammadi, Daniel Ortiz-Arroyo, Mikkel Stokholm-Bjerregaard +2 more
2024
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
Yoonsung Kim, Changhun Oh, Jinwoo Hwang +6 more
2024