Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕Symmetry-Breaking in Multi-Agent Navigation: Winding Number-Aware MPC with a Learned Topological Strategy
Tomoki Nakao, Kazumi Kasaura, Tadashi Kozuno
2025
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh +4 more
2025
An Alignment-Based Approach to Learning Motions from Demonstrations
Alex Cuellar, Christopher K Fourie, Julie A Shah
2025
Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
Suzie Kim
2025
Artificial intelligence approaches for energy-efficient laser cutting machines
Mohamed Abdallah Salem, Hamdy Ahmed Ashour, Ahmed Elshenawy
2025
Z-Merge: Multi-Agent Reinforcement Learning for On-Ramp Merging with Zone-Specific V2X Traffic Information
Yassine Ibork, Myounggyu Won, Lokesh Das
2025
$π^{*}_{0.6}$: a VLA That Learns From Experience
Physical Intelligence, Ali Amin, Raichelle Aniceto +17 more
2025
Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
Minyoung Hwang, Alexandra Forsey-Smerek, Nathaniel Dennler +1 more
2025
Achieving Safe Control Online through Integration of Harmonic Control Lyapunov-Barrier Functions with Unsafe Object-Centric Action Policies
Marlow Fawn, Matthias Scheutz
2025
A Receding Horizon Reinforcement Learning Framework for Campus Chiller Energy Management - A case study from an Australian University
Laura Musgrave, Arnab Bhattacharjee, Tapan Kumar Saha
2025
Socially aware navigation for mobile robots: a survey on deep reinforcement learning approaches
Ibrahim Khalil Kabir, Muhammad Faizan Mysorewala
2025
PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image
Ziang Cao, Fangzhou Hong, Zhaoxi Chen +2 more
2025
Physics-Informed Neural Networks for Nonlinear Output Regulation
Sebastiano Mengozzi, Giovanni B. Esposito, Michelangelo Bin +3 more
2025
PIGEON: VLM-Driven Object Navigation via Points of Interest Selection
Cheng Peng, Zhenzhe Zhang, Cheng Chi +7 more
2025
DiffFP: Learning Behaviors from Scratch via Diffusion-based Fictitious Play
Akash Karthikeyan, Yash Vardhan Pant
2025
Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
Vidur Sinha, Muhammed Ustaomeroglu, Guannan Qu
2025
ResAlignNet: A Data-Driven Approach for INS/DVL Alignment
Guy Damari, Itzik Klein
2025
Orientation-Free Neural Network-Based Bias Estimation for Low-Cost Stationary Accelerometers
Michal Levin, Itzik Klein
2025
An Online Multiobjective Policy Gradient for Long-run Average-reward Markov Decision Process
Rahul Misra, Manuela L. Bujorianu, Rafał Wisniewski
2025
Wide-Area Feedback Control for Renewables-Heavy Power Systems: A Comparative Study of Reinforcement Learning and Lyapunov-Based Design
Muhammad Nadeem, MirSaleh Bahavarnia, Ahmad F. Taha
2025
Green Emergency Communications in RIS- and MA-Assisted Multi-UAV SAGINs: A Partially Observable Reinforcement Learning Approach
Liangshun Wu, Wen Chen, Shunqing Zhang +2 more
2025
From Black-Box to White-Box: Control-Theoretic Neural Network Interpretability
Jihoon Moon
2025
Structured Imitation Learning of Interactive Policies through Inverse Games
Max M. Sun, Todd Murphey
2025
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
Julia Santaniello, Matthew Russell, Benson Jiang +3 more
2025