Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,955)
Clear ✕Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
Binh Nguyen, Colleen Josephson, Mircea Teodorescu +2 more
2026
Locker-based Truck-Drone Routing with Integrated Considerations of Pickups, Deliveries, and No-Fly Zones
Xuanyu Liu, Hui Hu, Jiao Zhao +2 more
2026
The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks
Yujin Wang, Junli Chen, Yixuan Li +4 more
2026
PAC-Bayesian Certificates for Quadratic Closed-Loop Control
Domagoj Herceg
2026
Regularized Reward-Punishment Reinforcement Learning
Jiexin Wang, Eiji Uchibe
2026
AI-Driven Synthesis for High-Tech System Design: Automating Innovation
Luuk Oerlemans, Steven Westerhof, Theo Hofman
2026
Learning to Distributedly Estimate under Partially Known Dynamics: A Covariance-Agnostic Neural Kalman Consensus Filter
George Stamatelis, Kyriakos Stylianopoulos, George C. Alexandropoulos
2026
SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks
Ruiqi Song, Dujun Nie, Siyu Teng +7 more
2026
RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance
Shiqiang Gong
2026
Cross-Platform Chinese Offensive Comment Detection via Dual-Threshold Hard Example Mining
Ruixing Ren, Junhui Zhao, Fangfang Wang
2026
Training Observable Control Policies to Expose Agent State Through Actions
Andres Enriquez Fernandez, John J. Bird
2026
Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience
Raymond Yu, William Huey, Mustafa Mukadam +2 more
2026
World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays
Manish Kumar Govind, Dominick Reilly, Smit Patel +2 more
2026
PhysiFormer: Learning to Simulate Mechanics in World Space
Yiming Chen, Yushi Lan, Andrea Vedaldi
2026
Continual Robot Policy Learning via Variational Neural Dynamics
Jiaxu Xing, Zhiyuan Zhu, Yunfan Ren +4 more
2026
Bridging Performance and Generalization in Reinforcement Learning for Agile Flight
Jonathan Green, Jiaxu Xing, Nico Messikommer +2 more
2026
Automating Potential-based Reward Shaping with Vision Language Model Guidance
Henrik Müller, Daniel Kudenko
2026
Inverse Design of Compact and Wideband Inverted Doherty Power Amplifiers Using Deep Learning
Han Zhou, Haojie Chang, David Widen +1 more
2026
XMSE-Aware Adaptive Empirical Bayes Estimation
Minghao Chen, Jiale Zheng
2026
RobOralScan: Learning Active Intraoral Scanning for Robotic Dental Reconstruction
Jinhyung Lee, Haeun Yun, Siwon Kim +4 more
2026
PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts
Joonhee Lim, Yongjae Lee, Jangho Shin +1 more
2026
IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control
Chenlong Liu, Zhuohui Zhang, Xinyan Chen +3 more
2026
Revisiting Action Factorization for Complex Action Spaces
Timothy Flavin, Sandip Sen
2026
Input Convex Neural Network as a Surrogate in Stability-Constrained Optimization for IBR-dominated Power Systems
Wangkun Xu, Hongyang Jia, Yi Wang +2 more
2026