Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Visual-Geometry Diffusion Policy: Robust Generalization via Complementarity-Aware Multimodal Fusion
Yikai Tang, Haoran Geng, Sheng Zang +2 more
2025
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
Roland Stolz, Michael Eichelbeck, Matthias Althoff
2025
Nonholonomic Narrow Dead-End Escape with Deep Reinforcement Learning
Denghan Xiong, Yanzhe Zhao, Yutong Chen +1 more
2025
BiCQL-ML: A Bi-Level Conservative Q-Learning Framework for Maximum Likelihood Inverse Reinforcement Learning
Junsung Park
2025
Learning Neural Network Safe Tracking Controllers from Backward Reachable Sets
Yuezhu Xu, Mohamed Serry, Jun Liu +1 more
2025
LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models
Amit Jena, Na Li, Le Xie
2025
Closed Form HJB Solution for Continuous-Time Optimal Control of a Non-Linear Input-Affine System
Akash Vyas, Shreyas Kumar, Jayant Kumar Mohanta +1 more
2025
Predictive Safety Shield for Dyna-Q Reinforcement Learning
Jin Pin, Krasowski Hanna, Vanneaux Elena
2025
VibraWave: Sensing the Pulse of Polluted Waters
Sagnik Ghosh, Sandip Chakraborty
2025
Neural NMPC through Signed Distance Field Encoding for Collision Avoidance
Martin Jacquet, Marvin Harms, Kostas Alexis
2025
Sparse shepherding control of large-scale multi-agent systems via Reinforcement Learning
Luigi Catello, Italo Napolitano, Davide Salzano +1 more
2025
Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics
Jamal Raiyn
2025
SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation
Ziyi Chen, Yingnan Guo, Zedong Chu +14 more
2025
Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry
Feiyang Pan, Shenghe Zheng, Chunyan Yin +1 more
2025
Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning
Sid Bharthulwar, Stone Tao, Hao Su
2025
Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
Junkai Hu, Li Xia
2025
NOIR 2.0: Neural Signal Operated Intelligent Robots for Everyday Activities
Tasha Kim, Yingke Wang, Hanvit Cho +1 more
2025
Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI
Xinhao Liu, Jiaqi Li, Youming Deng +7 more
2025
Safe and Stable Neural Network Dynamical Systems for Robot Motion Planning
Allen Emmanuel Binny, Mahathi Anand, Hugo T. M. Kussaba +4 more
2025
Learning Control Barrier Functions with Deterministic Safety Guarantees
Amy K. Strong, Ali Kashani, Claus Danielson +1 more
2025
BRIC: Bridging Kinematic Plans and Physical Control at Test Time
Dohun Lim, Minji Kim, Jaewoon Lim +1 more
2025
Accelerating Time-Optimal Trajectory Planning for Connected and Automated Vehicles with Graph Neural Networks
Viet-Anh Le, Andreas A. Malikopoulos
2025
LLM-Driven Transient Stability Assessment: From Automated Simulation to Neural Architecture Design
Lianzhe Hu, Yu Wang, Bikash Pal
2025
Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis
Zeynab Kaseb, Matthias Moller, Lindsay Spoor +4 more
2025