Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,492)
Clear ✕Constrained Group Relative Policy Optimization
Roger Girgis, Rodrigue de Schaetzen, Luke Rowe +3 more
2026
Distributional Reinforcement Learning with Diffusion Bridge Critics
Shutong Ding, Yimiao Zhou, Ke Hu +5 more
2026
UAV Trajectory Optimization via Improved Noisy Deep Q-Network
Zhang Hengyu, Maryam Cheraghy, Liu Wei +3 more
2026
HiCrowd: Hierarchical Crowd Flow Alignment for Dense Human Environments
Yufei Zhu, Shih-Min Yang, Martin Magnusson +1 more
2026
Formal Synthesis of Certifiably Robust Neural Lyapunov-Barrier Certificates
Chengxiao Wang, Haoze Wu, Gagandeep Singh
2026
Trojan Attacks on Neural Network Controllers for Robotic Systems
Farbod Younesi, Walter Lucia, Amr Youssef
2026
Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
Ethan Rathbun, Wo Wei Lin, Alina Oprea +1 more
2026
Optimal Multi-Debris Mission Planning in LEO: A Deep Reinforcement Learning Approach with Co-Elliptic Transfers and Refueling
Agni Bandyopadhyay, Gunther Waxenegger-Wilfing
2026
Reinforcement Learning Enhancement Using Vector Semantic Representation and Symbolic Reasoning for Human-Centered Autonomous Emergency Braking
Vinal Asodia, Iman Sharifi, Saber Fallah
2026
Optimizing Mission Planning for Multi-Debris Rendezvous Using Reinforcement Learning with Refueling and Adaptive Collision Avoidance
Agni Bandyopadhyay, Gunther Waxenegger-Wilfing
2026
CRoSS: A Continual Robotic Simulation Suite for Scalable Reinforcement Learning with High Task Diversity and Realistic Physics Simulation
Yannick Denker, Alexander Gepperth
2026
Reinforcement Learning-based Home Energy Management with Heterogeneous Batteries and Stochastic EV Behaviour
Meng Yuan, Ye Wang, Xinghuo Yu +2 more
2026
Hand Gesture Recognition from Doppler Radar Signals Using Echo State Networks
Towa Sano, Gouhei Tanaka
2026
HoRD: Robust Humanoid Control via History-Conditioned Reinforcement Learning and Online Distillation
Puyue Wang, Jiawei Hu, Yan Gao +7 more
2026
OAT: Ordered Action Tokenization
Chaoqi Liu, Xiaoshen Han, Jiawei Gao +3 more
2026
Lyapunov Constrained Soft Actor-Critic (LC-SAC) using Koopman Operator Theory for Quadrotor Trajectory Tracking
Dhruv S. Kushwaha, Zoleikha A. Biron
2026
VLS: Steering Pretrained Robot Policies via Vision-Language Models
Shuo Liu, Ishneet Sukhvinder Singh, Yiqing Xu +2 more
2026
Safety-Critical Reinforcement Learning with Viability-Based Action Shielding for Hypersonic Longitudinal Flight
Hossein Rastgoftar
2026
Impact of Physics-Informed Features on Neural Network Complexity for Li-ion Battery Voltage Prediction in Electric Vertical Takeoff and Landing Aircrafts
Eymen Ipek, Mario Hirz
2026
SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement Learning
Yao-Hui Li, Zeyu Wang, Xin Li +7 more
2026
Hierarchical Proportion Models for Motion Generation via Integration of Motion Primitives
Yu-Han Shu, Toshiaki Tsuji, Sho Sakaino
2026
StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
Zhe Xu
2026
Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control
Quanquan Peng, Yunfeng Lin, Yufei Xue +2 more
2026
Human-Centric Traffic Signal Control for Equity: A Multi-Agent Action Branching Deep Reinforcement Learning Approach
Xiaocai Zhang, Neema Nassir, Lok Sang Chan +1 more
2026