Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Learn2Drive: A neural network-based framework for socially compliant automated vehicle control
Yuhui Liu, Samannita Halder, Shian Wang +1 more
2025
TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
Yuyang Liu, Chuan Wen, Yihang Hu +2 more
2025
Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
Maël Macuglia, Paul Friedrich, Giorgia Ramponi
2025
Neural Network-based Co-design of Output-Feedback Control Barrier Function and Observer with Input Constraints
Vaishnavi Jagabathula, Ahan Basu, Pushpak Jagtap
2025
Stabilization of nonlinear systems with unknown delays via delay-adaptive neural operator approximate predictors
Luke Bhan, Miroslav Krstic, Yuanyuan Shi
2025
Accelerating Transformers in Online RL
Daniil Zelezetsky, Alexey K. Kovalev, Aleksandr I. Panov
2025
Evolutionary Continuous Adaptive RL-Powered Co-Design for Humanoid Chin-Up Performance
Tianyi Jin, Melya Boukheddimi, Rohit Kumar +2 more
2025
Towards Human Engagement with Realistic AI Combat Pilots
Ardian Selmonaj, Giacomo Del Rio, Adrian Schneider +1 more
2025
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
Deniz Soysal, Xabier García-Andrade, Laura E. Rodriguez +3 more
2025
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
Hanjiang Hu, Bowei Li, Ziwei Wang +4 more
2025
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
Huikang Su, Dengyun Peng, Zifeng Zhuang +4 more
2025
VLA Model Post-Training via Action-Chunked PPO and Self Behavior Cloning
Si-Cheng Wang, Tian-Yu Xiang, Xiao-Hu Zhou +6 more
2025
OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation
Xinda Xue, Junjun Hu, Minghua Luo +7 more
2025
World Model for AI Autonomous Navigation in Mechanical Thrombectomy
Harry Robertshaw, Han-Ru Wu, Alejandro Granados +1 more
2025
Spatiotemporal Forecasting of Incidents and Congestion with Implications for Sustainable Traffic Control
Tony Kinchen, Ting Bai, Nishanth Venkatesh S. +1 more
2025
Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
Ehimare Okoyomon, Arbel Yaniv, Christoph Goebel
2025
Scaling Synthetic Task Generation for Agents via Exploration
Ram Ramrakhya, Andrew Szot, Omar Attia +6 more
2025
MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
Heming Fu, Shan Lin, Guojun Xiong
2025
Safe Reinforcement Learning-Based Vibration Control: Overcoming Training Risks with LQR Guidance
Rohan Vitthal Thorat, Juhi Singh, Rajdip Nayek
2025
Training Agents Inside of Scalable World Models
Danijar Hafner, Wilson Yan, Timothy Lillicrap
2025
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
Korbinian Moller, Roland Stroop, Mattia Piccinini +2 more
2025
Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
Sheng Yang, Tong Zhan, Guancheng Chen +2 more
2025
Contextual Neural Moving Horizon Estimation for Robust Quadrotor Control in Varying Conditions
Kasra Torshizi, Chak Lam Shek, Khuzema Habib +3 more
2025
Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games
Jingqi Li, Gechen Qu, Jason J. Choi +2 more
2025