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 ✕Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning
Po-Yen Wu, Cheng-Yu Kuo, Yuki Kadokawa +1 more
2025
Dispatch-Aware Deep Neural Network for Optimal Transmission Switching: Toward Real-Time and Feasibility Guaranteed Operation
Minsoo Kim, Jip Kim
2025
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
Adithya Mohan, Dominik Rößle, Daniel Cremers +1 more
2025
Shared Control of Holonomic Wheelchairs through Reinforcement Learning
Jannis Bähler, Diego Paez-Granados, Jorge Peña-Queralta
2025
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Ang Li, Charles Wang, Deqing Fu +9 more
2025
A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
Kaixian Qu, Guowei Lan, René Zurbrügg +4 more
2025
A Distributed Actor-Critic Algorithm for Fixed-Time Consensus in Nonlinear Multi-Agent Systems
Aria Delshad, Maryam Babazadeh
2025
Spiking neurons as predictive controllers of linear systems
Paolo Agliati, André Urbano, Pablo Lanillos +3 more
2025
Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning
Haoyang Zhang, Mina Montazeri, Philipp Heer +2 more
2025
Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks
Harry Holt, Sebastien Origer, Dario Izzo
2025
A safety governor for learning explicit MPC controllers from data
Anjie Mao, Zheming Wang, Hao Gu +2 more
2025
The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents
Simon Kohaut, Felix Divo, Navid Hamid +4 more
2025
The Emergence of Deep Reinforcement Learning for Path Planning
Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak +3 more
2025
AoI-Aware Resource Allocation with Deep Reinforcement Learning for HAPS-V2X Networks
Ahmet Melih Ince, Ayse Elif Canbilen, Halim Yanikomeroglu
2025
Solving nonconvex Hamilton--Jacobi--Isaacs equations with PINN-based policy iteration
Hee Jun Yang, Minjung Gim, Yeoneung Kim
2025
Low-Latency Event-Based Velocimetry for Quadrotor Control in a Narrow Pipe
Leonard Bauersfeld, Davide Scaramuzza
2025
Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers
Jun Kang Yap, Vishnu Monn Baskaran, Wen Shan Tan +3 more
2025
Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes
Jun Kang Yap, Vishnu Monn Baskaran, Wen Shan Tan +3 more
2025
Adaptive Network Security Policies via Belief Aggregation and Rollout
Kim Hammar, Yuchao Li, Tansu Alpcan +2 more
2025
Reinforcement Learning for Flow-Matching Policies
Samuel Pfrommer, Yixiao Huang, Somayeh Sojoudi
2025
Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
Lisa Dargasz
2025
CPED-NCBFs: A Conformal Prediction for Expert Demonstration-based Neural Control Barrier Functions
Sumeadh MS, Kevin Dsouza, Ravi Prakash
2025
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
Armin Kekić, Jan Schneider, Dieter Büchler +2 more
2025
Light Future: Multimodal Action Frame Prediction via InstructPix2Pix
Zesen Zhong, Duomin Zhang, Yijia Li
2025