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 ✕Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents
Reuben Tan, Baolin Peng, Zhengyuan Yang +15 more
2025
World Models for Autonomous Navigation of Terrestrial Robots from LIDAR Observations
Raul Steinmetz, Fabio Demo Rosa, Victor Augusto Kich +3 more
2025
GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding
Johannes Gaber, Meshal Alharbi, Daniele Gammelli +1 more
2025
Multi-Agent Reinforcement Learning and Real-Time Decision-Making in Robotic Soccer for Virtual Environments
Aya Taourirte, Md Sohag Mia
2025
Learning Physically Consistent Lagrangian Control Models Without Acceleration Measurements
Ibrahim Laiche, Mokrane Boudaoud, Patrick Gallinari +1 more
2025
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
Yuxuan Mu, Ziyu Zhang, Yi Shi +9 more
2025
System Identification for Dynamic Modeling of Large Steering Angle Vehicles
Tobias Petri, Simone Baratto, Giancarlo Ferrari Trecate
2025
AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
Jeric Lew, Yuhong Cao, Derek Ming Siang Tan +1 more
2025
Synthetic Error Injection Fails to Elicit Self-Correction In Language Models
David X. Wu, Shreyas Kapur, Anant Sahai +1 more
2025
Verifying Closed-Loop Contractivity of Learning-Based Controllers via Partitioning
Alexander Davydov
2025
RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
Guillermo Garcia-Cobo, Maximilian Igl, Peter Karkus +5 more
2025
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur +1 more
2025
GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment
Haoyang He, Jay Patrikar, Dong-Ki Kim +5 more
2025
NeuroHJR: Hamilton-Jacobi Reachability-based Obstacle Avoidance in Complex Environments with Physics-Informed Neural Networks
Granthik Halder, Rudrashis Majumder, Rakshith M R +2 more
2025
Frequency-Dynamics-Aware Economic Dispatch with Optimal Grid-Forming Inverter Allocation and Reserved Power Headroom
Fan Jiang, Xingpeng Li
2025
FishDetector-R1: Unified MLLM-Based Framework with Reinforcement Fine-Tuning for Weakly Supervised Fish Detection, Segmentation, and Counting
Yi Liu, Jingyu Song, Vedanth Kallakuri +1 more
2025
Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation
Xuezhi Liu
2025
A TinyML Reinforcement Learning Approach for Energy-Efficient Light Control in Low-Cost Greenhouse Systems
Mohamed Abdallah Salem, Manuel Cuevas Perez, Ahmed Harb Rabia
2025
Estimation of Kinematic Motion from Dashcam Footage
Evelyn Zhang, Alex Richardson, Jonathan Sprinkle
2025
Reinforcement Learning for Gliding Projectile Guidance and Control
Joel Cahn, Antonin Thomas, Philippe Pastor
2025
Automating the Refinement of Reinforcement Learning Specifications
Tanmay Ambadkar, Đorđe Žikelić, Abhinav Verma
2025
Fault-Tolerant Temperature Control of HRSG Superheaters: Stability Analysis Under Valve Leakage Using Physics-Informed Neural Networks
Mojtaba Fanoodi, Farzaneh Abdollahi, Mahdi Aliyari Shoorehdeli +1 more
2025
Sign Language Recognition using Bidirectional Reservoir Computing
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1 more
2025
Sample-Efficient Expert Query Control in Active Imitation Learning via Conformal Prediction
Arad Firouzkouhi, Omid Mirzaeedodangeh, Lars Lindemann
2025