Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,814)
Clear ✕Personalized Federated Learning by Energy-Efficient UAV Communications
Shiqian Guo, Jianqing Liu, Beatriz Lorenzo
2026
Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
Ziheng Cheng, Yixiao Huang, Hanlin Zhu +5 more
2026
Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation
Kordel K. France, Ovidiu Daescu
2026
ParkingWorld: End-to-End Autonomous Parking Reinforcement Learning from Corrective Experience in 3DGS Simulation
Zhengcheng Yu, Changze Li, Haoran Liu +1 more
2026
Performance Comparison of Classical and Neural Sampling Algorithms for Robotic Navigation
Hichem Cheriet, Badra Khellat Kihel, Samira Chouraqui
2026
Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning
Hichem Cheriet, Badra Khellat Kihel, Samira Chouraqui +1 more
2026
MuJoCoUni:Persistent Batched Runtime Primitives for MuJoCo
Yufei Jia, Junzhe Wu
2026
QuoVLA: Quotient Space for Vision-Language-Action Models
Xuan Wang, Yinan Wu, Haoran Duan +1 more
2026
Learning Transferable Motor Skills for Geometry-Aware Robotic Surface Tasks
Miroslav David, Karla Stepanova, Robert Babuska
2026
T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
Zeyu Shen, Zhuoyuan Wang, Laixi Shi
2026
Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
Yu Yang, Yihong Guo, Anqi Liu +1 more
2026
On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks
Sai Sandeep Damera, Ryan Matheu, Aniruddh G. Puranic +2 more
2026
Emission-Aware Reinforcement Learning for Sustainable Electric Vehicle Charging and Carbon Dioxide Reduction Under Varying Renewable Penetration
Ninglin Ou, Mohammad A. Razzaque, Iftekher Islam Shovon +5 more
2026
Safe Data-Driven Control and Dynamical Learning via Constrained Neural Architectures and Koopman Operators
Lin Feng, Xin He
2026
Cost-Aware Adaptive Conformal Inference for Runtime Assurance in Dynamic Environments
Taoran Wu, Jingduo Pan, Luke Ong +1 more
2026
A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism
Jayprakash S. Nair, Jimson Mathew, Shivashankar B. Nair
2026
Finite-Time Markov-Parameter Identification of LTI Systems Using Non-Causal FIR Models: A Unified Framework for Stable and Unstable Systems
Ahmad Al-Tawaha, Ming Jin, Khaled F. Aljanaideh
2026
AcroRL: Learning Aggressive Quadrotor Inversion using Bidirectional Thrust
Gabriel Rodriguez, Henri Sayag, Abhishek Rathod +4 more
2026
Learning regime-dependent governing equations: A symbolic decision tree approach
Ilias Mitrai, Tongjia Liu, Gabriel E. Sanoja
2026
Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
Eric Pulick, Stephanie Carpenter, Matthew Buman +1 more
2026
Point Tracking Improves World Action Models
Jiarui Guan, Wenshuai Zhao, Yue Pei +3 more
2026
From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
Christian Gumbsch, Leonardo Barcellona, Lennard Schünemann +7 more
2026
Direct Dynamic Retargeting for Humanoid Imitation Learning from Videos
Constant Roux, Ludovic De Matteïs, Armand Jordana +4 more
2026
Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
Ming Yang, Tao Yu, Feng Li +1 more
2026