Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,884)
Clear ✕Distribution-aware Noisy-label Crack Segmentation
Xiaoyan Jiang, Xinlong Wan, Kaiying Zhu +2 more
2024
Physical Simulation for Multi-agent Multi-machine Tending
Abdalwhab Abdalwhab, Giovanni Beltrame, David St-Onge
2024
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Lorenzo Magnino, Yuchen Zhu, Mathieu Laurière
2024
Offline Hierarchical Reinforcement Learning via Inverse Optimization
Carolin Schmidt, Daniele Gammelli, James Harrison +2 more
2024
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar, Qitao Weng, Bakhbyergyen Yerjan +2 more
2024
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
Thomas Schmied, Fabian Paischer, Vihang Patil +3 more
2024
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots
Milad Farjadnasab, Shahin Sirouspour
2024
Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
Paweł Gajewski, Dominik Żurek, Marcin Pietroń +1 more
2024
A New Architecture for Neural Enhanced Multiobject Tracking
Shaoxiu Wei, Mingchao Liang, Florian Meyer
2024
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella, Jonas Hübotter, Georg Martius +1 more
2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok
2024
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil +4 more
2024
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
Hanjiang Hu, Yujie Yang, Tianhao Wei +1 more
2024
Online Control-Informed Learning
Zihao Liang, Tianyu Zhou, Zehui Lu +1 more
2024
Predictive Coding for Decision Transformer
Tung M. Luu, Donghoon Lee, Chang D. Yoo
2024
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Marcos Negre Saura, Richard Allmendinger, Wei Pan +1 more
2024
Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients
Gabriel Chenevert, Jingqi Li, Achyuta kannan +2 more
2024
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI
Ahmad Elawady, Gunjan Chhablani, Ram Ramrakhya +4 more
2024
E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework
Yiqun Duan, Qiang Zhang, Jinzhao Zhou +9 more
2024
Realizable Continuous-Space Shields for Safe Reinforcement Learning
Kyungmin Kim, Davide Corsi, Andoni Rodriguez +5 more
2024
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a Robot
Jianchao Ci, Eldert J. van Henten, Xin Wang +2 more
2024
Life, uh, Finds a Way: Hyperadaptability by Behavioral Search
Alex Baranski, Jun Tani
2024
Multimodal Coherent Explanation Generation of Robot Failures
Pradip Pramanick, Silvia Rossi
2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
Lirui Wang, Xinlei Chen, Jialiang Zhao +1 more
2024