Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Feedback World Model Enables Precise Guidance of Diffusion Policy
Tuo An, Jindou Jia, Gen Li +8 more
2026
PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment
Chuancheng Zhang, Zhenhao Wang, Kaizheng Li +3 more
2026
parallelcbf: A composable safety-filter and auditability framework for tensor-parallel reinforcement learning
Yijun Lu, Zilei Yang, Yuyin Ma
2026
Residual Reinforcement Learning for Robot Teleoperation under Stochastic Delays
Kaize Deng, Zewen Yang
2026
EgoExo-WM: Unlocking Exo Video for Ego World Models
Danny Tran, Roberto Martín-Martín, Kristen Grauman
2026
Time-Varying Deep State Space Models for Sequences with Switching Dynamics
Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
2026
PhysBrain 1.0 Technical Report
Shijie Lian, Bin Yu, Xiaopeng Lin +10 more
2026
Articraft: An Agentic System for Scalable Articulated 3D Asset Generation
Matt Zhou, Ruining Li, Xiaoyang Lyu +6 more
2026
Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations
Jonathan Spieler, Angel Villar-Corrales, Sven Behnke
2026
Chrono-Gymnasium: An Open-Source, Gymnasium-Compatible Distributed Simulation Framework
Bocheng Zou, Harry Zhang, Khailanii Slaton +5 more
2026
CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
Hong Hong, Feiyu Liao, Yongheng Liang +3 more
2026
Addressing Terminal Constraints in Data-Driven Demand Response Scheduling
Maximilian Bloor, Martha White, Ehecatl Antonio del Rio Chanona +1 more
2026
SR-Platform: An Agentic Pipeline for Natural Language-Driven Robot Simulation Environment Synthesis
Ben Wei Lim, Minh Duc Le, Thang Truong +1 more
2026
Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
Edoardo Scarpel, Alberto Pettena, Matteo Cederle +3 more
2026
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
Matias Alvo, Daniel Russo, Yash Kanoria
2026
Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
Yushen Liu, Yin-Jen Chen, Ziyi Chen +4 more
2026
PreFT: Prefill-only finetuning for efficient inference
Andrew Lanpouthakoun, Aryaman Arora, Zhengxuan Wu +4 more
2026
MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
Rajeev Yasarla, Deepti Hegde, Hsin-Pai Cheng +9 more
2026
Optimal design of solar-battery hybrid resources considering multi-market participation under weather and price uncertainty
Hikaru Hoshino, Taiyo Mantani, Eiko Furutani
2026
R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
Sanghyeob Song, Donghyeok Lee, Jinsik Kim +1 more
2026
Ergodic Imitation for Adaptive Exploration around Demonstrations
Ziyi Xu, Cem Bilaloglu, Yiming Li +1 more
2026
Learning POMDP World Models from Observations with Language-Model Priors
Valentin Six, Frederik Panse, Mathis Fajeau +7 more
2026
Twincher: Bijective Representation Learning for Robust Inversion of Continuous Systems
Arkady Gonoskov
2026
Learning a Contracting KKL-observer with Local Optimal Guarantees
Clara Lucía Galimberti, Johan Peralez, Daniele Astolfi +2 more
2026