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 ✕Towards Context-Aware Human-like Pointing Gestures with RL Motion Imitation
Anna Deichler, Siyang Wang, Simon Alexanderson +1 more
2025
GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
Haozhan Ni, Jingsong Liang, Chenyu He +2 more
2025
ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy
Alejandro D. Mousist
2025
ActiveVLN: Towards Active Exploration via Multi-Turn RL in Vision-and-Language Navigation
Zekai Zhang, Weiye Zhu, Hewei Pan +4 more
2025
Robust Online Residual Refinement via Koopman-Guided Dynamics Modeling
Zhefei Gong, Shangke Lyu, Pengxiang Ding +2 more
2025
Pre-trained Visual Representations Generalize Where it Matters in Model-Based Reinforcement Learning
Scott Jones, Liyou Zhou, Sebastian W. Pattinson
2025
Hybrid State Estimation of Uncertain Nonlinear Dynamics Using Neural Processes
Devin Hunter, Chinwendu Enyioha
2025
Learning to Generate Pointing Gestures in Situated Embodied Conversational Agents
Anna Deichler, Siyang Wang, Simon Alexanderson +1 more
2025
Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures
Ruimeng Hu, Jihao Long, Haosheng Zhou
2025
Platoon-Centric Green Light Optimal Speed Advisory Using Safe Reinforcement Learning
Ruining Yang, Jingyuan Zhou, Qiqing Wang +2 more
2025
A Deep Learning Approach to Renewable Capacity Installation under Jump Uncertainty
Nacira Agram, Fred Espen Benth, Giulia Pucci +1 more
2025
Compositional shield synthesis for safe reinforcement learning in partial observability
Steven Carr, Georgios Bakirtzis, Ufuk Topcu
2025
Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors
Anirudha Majumdar
2025
E2-BKI: Evidential Ellipsoidal Bayesian Kernel Inference for Uncertainty-aware Gaussian Semantic Mapping
Junyoung Kim, Minsik Jeon, Jihong Min +2 more
2025
Synthetic vs. Real Training Data for Visual Navigation
Lauri Suomela, Sasanka Kuruppu Arachchige, German F. Torres +2 more
2025
SafeDiver: Cooperative AUV-USV Assisted Diver Communication via Multi-agent Reinforcement Learning Approach
Tinglong Deng, Hang Tao, Xinxiang Wang +2 more
2025
NVM-in-Cache: Repurposing Commodity 6T SRAM Cache into NVM Analog Processing-in-Memory Engine using a Novel Compute-on-Powerline Scheme
Subhradip Chakraborty, Ankur Singh, Xuming Chen +2 more
2025
RAPTOR: A Foundation Policy for Quadrotor Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
2025
Quantum deep reinforcement learning for humanoid robot navigation task
Romerik Lokossou, Birhanu Shimelis Girma, Ozan K. Tonguz +1 more
2025
Detecting Model Drifts in Non-Stationary Environment Using Edit Operation Measures
Chang-Hwan Lee, Alexander Shim
2025
CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight
Yechen Zhang, Bin Gao, Gang Wang +2 more
2025
RoVerFly: Robust and Versatile Implicit Hybrid Control of Quadrotor-Payload Systems
Mintae Kim, Jiaze Cai, Koushil Sreenath
2025
Neural cellular automata: applications to biology and beyond classical AI
Benedikt Hartl, Michael Levin, Léo Pio-Lopez
2025
Real-Time Defense Against Coordinated Cyber-Physical Attacks: A Robust Constrained Reinforcement Learning Approach
Saman Mazaheri Khamaneh, Tong Wu, Wei Sun +1 more
2025