Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems
Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio +1 more
2024
FOSP: Fine-tuning Offline Safe Policy through World Models
Chenyang Cao, Yucheng Xin, Silang Wu +4 more
2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Heng Lu, Mehdi Alemi, Reza Rawassizadeh
2024
Augmenting learning in neuro-embodied systems through neurobiological first principles
Alejandro Rodriguez-Garcia, Anindya Ghosh, Jie Mei +1 more
2024
EAGERx: Graph-Based Framework for Sim2real Robot Learning
Bas van der Heijden, Jelle Luijkx, Laura Ferranti +2 more
2024
Efficient Imitation Without Demonstrations via Value-Penalized Auxiliary Control from Examples
Trevor Ablett, Bryan Chan, Jayce Haoran Wang +1 more
2024
RobocupGym: A challenging continuous control benchmark in Robocup
Michael Beukman, Branden Ingram, Geraud Nangue Tasse +2 more
2024
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints
Kazumi Kasaura
2024
Research on Autonomous Robots Navigation based on Reinforcement Learning
Zixiang Wang, Hao Yan, Yining Wang +3 more
2024
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning
Tao Ma, Xuzhi Yang, Zoltan Szabo
2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Yixiao Wang, Yifei Zhang, Mingxiao Huo +8 more
2024
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
Masoud Ataei, Vikas Dhiman
2024
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
Gautham Vasan, Yan Wang, Fahim Shahriar +3 more
2024
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani +6 more
2024
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
Christopher E. Mower, Yuhui Wan, Hongzhan Yu +17 more
2024
Stereo Vision Based Robot for Remote Monitoring with VR Support
Mohamed Fazil M. S., Arockia Selvakumar A., Daniel Schilberg
2024
Learning Pareto Set for Multi-Objective Continuous Robot Control
Tianye Shu, Ke Shang, Cheng Gong +2 more
2024
Autonomous Control of a Novel Closed Chain Five Bar Active Suspension via Deep Reinforcement Learning
Nishesh Singh, Sidharth Ramesh, Abhishek Shankar +3 more
2024
Multimodal Reaching-Position Prediction for ADL Support Using Neural Networks
Yutaka Takase, Kimitoshi Yamazaki
2024
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
2024
SUM: Saliency Unification through Mamba for Visual Attention Modeling
Alireza Hosseini, Amirhossein Kazerouni, Saeed Akhavan +2 more
2024
Reinforcement Learning via Auxiliary Task Distillation
Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna +2 more
2024
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction
Sariah Mghames, Luca Castri, Marc Hanheide +1 more
2024
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
Yuxin Chen, Chen Tang, Jianglan Wei +6 more
2024