Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of Explainability
Risal Shahriar Shefin, Md Asifur Rahman, Thai Le +1 more
2024
Mobile Robots through Task-Based Human Instructions using Incremental Curriculum Learning
Muhammad A. Muttaqien, Ayanori Yorozu, Akihisa Ohya
2024
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Yun Liu, Bowen Yang, Licheng Zhong +2 more
2024
V$^2$-SfMLearner: Learning Monocular Depth and Ego-motion for Multimodal Wireless Capsule Endoscopy
Long Bai, Beilei Cui, Liangyu Wang +9 more
2024
ActPC-Chem: Discrete Active Predictive Coding for Goal-Guided Algorithmic Chemistry as a Potential Cognitive Kernel for Hyperon & PRIMUS-Based AGI
Ben Goertzel
2024
Probabilistic Latent Variable Modeling for Dynamic Friction Identification and Estimation
Victor Vantilborgh, Sander De Witte, Frederik Ostyn +2 more
2024
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
Joshua Holder, Natasha Jaques, Mehran Mesbahi
2024
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro +3 more
2024
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda, Rémy Portelas, Odalric-Ambrym Maillard +1 more
2024
Consistency Matters: Defining Demonstration Data Quality Metrics in Robot Learning from Demonstration
Maram Sakr, H. F. Machiel Van der Loos, Dana Kulic +1 more
2024
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
Xiu Yuan, Tongzhou Mu, Stone Tao +3 more
2024
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
Changxin Huang, Yanbin Chang, Junfan Lin +3 more
2024
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
Moritz Reuss, Jyothish Pari, Pulkit Agrawal +1 more
2024
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
Taisuke Kobayashi, Takumi Aotani
2024
SLTNet: Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks
Xianlei Long, Xiaxin Zhu, Fangming Guo +4 more
2024
Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs
Shiyu Hu, Daizong Liu, Wei Hu
2024
Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks
Iftekharul Islam, Weizi Li
2024
Survey on safe robot control via learning
Bassel El Mabsout
2024
AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery
Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao +4 more
2024
RowDetr: End-to-End Crop Row Detection Using Polynomials
Rahul Harsha Cheppally, Ajay Sharda
2024
Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer
Adam Labiosa, Zhihan Wang, Siddhant Agarwal +10 more
2024
Learning Novel Skills from Language-Generated Demonstrations
Ao-Qun Jin, Tian-Yu Xiang, Xiao-Hu Zhou +8 more
2024
Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation
Bofang Jia, Pengxiang Ding, Can Cui +5 more
2024
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
Jad Mansour, Hayat Rajani, Rafael Garcia +1 more
2024