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 ✕Gray-Box Computed Torque Control for Differential-Drive Mobile Robot Tracking
Arman Javan Sekhavat Pishkhani
2025
Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot
Philip Lorimer, Jack Saunders, Alan Hunter +1 more
2025
Game Theoretic Resilience Recommendation Framework for CyberPhysical Microgrids Using Hypergraph MetaLearning
S Krishna Niketh, Prasanta K Panigrahi, V Vignesh +1 more
2025
Poke and Strike: Learning Task-Informed Exploration Policies
Marina Y. Aoyama, Joao Moura, Juan Del Aguila Ferrandis +1 more
2025
DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers
Navid Aftabi, Abhishek Hanchate, Satish Bukkapatnam +1 more
2025
Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL
Hamza Ezzaoui Rahali, Abhilasha Dave, Larry Ruckman +4 more
2025
Can a mobile robot learn from a pedestrian model to prevent the sidewalk salsa?
Olger Siebinga, David Abbink
2025
Learning Agile Gate Traversal via Analytical Optimal Policy Gradient
Tianchen Sun, Bingheng Wang, Nuthasith Gerdpratoom +3 more
2025
Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
Pierrick Lorang, Hong Lu, Johannes Huemer +2 more
2025
Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Xinyi Sheng, Dominik Baumann
2025
Cooperative Sensing Enhanced UAV Path-Following and Obstacle Avoidance with Variable Formation
Changheng Wang, Zhiqing Wei, Wangjun Jiang +2 more
2025
Mini Autonomous Car Driving based on 3D Convolutional Neural Networks
Pablo Moraes, Monica Rodriguez, Kristofer S. Kappel +5 more
2025
An Efficient Data-Driven Framework for Linear Quadratic Output Feedback Control
Jun Xie, Yuan-Hua Ni, Yiqin Yang +1 more
2025
Non-expert to Expert Motion Translation Using Generative Adversarial Networks
Yuki Tanaka, Seiichiro Katsura
2025
Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua +3 more
2025
Local Observability of a Class of Feedforward Neural Networks
Yi Yang, Victor G. Lopez, Matthias A. Müller
2025
Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI
Dilruk Perera, Gousia Habib, Qianyi Xu +4 more
2025
Bootstrap Policy Iteration for Stochastic LQ Tracking with Multiplicative Noise
Jiayu Chen, Zhenhui Xu, Xinghu Wang
2025
Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors
Luke Bhan, Miroslav Krstic, Yuanyuan Shi
2025
Understanding Incremental Learning with Closed-form Solution to Gradient Flow on Overparamerterized Matrix Factorization
Hancheng Min, René Vidal
2025
Neural Spline Operators for Risk Quantification in Stochastic Systems
Zhuoyuan Wang, Raffaele Romagnoli, Kamyar Azizzadenesheli +1 more
2025
Combined Stochastic and Robust Optimization for Electric Autonomous Mobility-on-Demand with Nested Benders Decomposition
Sten Elling Tingstad Jacobsen, Balázs Kulcsár, Anders Lindman
2025
Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing
Ning Yang, Junrui Wen, Meng Zhang +1 more
2025
Hybrid ML-RL Approach for Smart Grid Stability Prediction and Optimized Control Strategy
Kazi Sifatul Islam, Anandi Dutta, Shivani Mruthyunjaya
2025