:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Gaoyuan, de Winter, Joris, Durodie, Yuri, Steckelmacher, Denis, Nowe, Ann, Vanderborght, Bram
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2510.14065
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Task-Efficient Reinforcement Learning Task-Motion Planner for Safe Human-Robot Cooperation
by: Liu, Gaoyuan, et al.
Published: (2025)

Automated Behavior Planning for Fruit Tree Pruning via Redundant Robot Manipulators: Addressing the Behavior Planning Challenge
by: Liu, Gaoyuan, et al.
Published: (2025)

Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
by: Deproost, Senne, et al.
Published: (2024)

Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Explainable Models
by: Deproost, Senne, et al.
Published: (2026)

Explainable RL Policies by Distilling to Locally-Specialized Linear Policies with Voronoi State Partitioning
by: Deproost, Senne, et al.
Published: (2025)

Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation
by: Wu, Qizhen, et al.
Published: (2025)

Beyond Task and Motion Planning: Hierarchical Robot Planning with General-Purpose Skills
by: Hedegaard, Benned, et al.
Published: (2025)

Dual-Variable Force Characterisation method for Human-Robot Interaction in Wearable Robotics
by: Ballen-Moreno, Felipe, et al.
Published: (2025)

A Hybrid Parameters Estimation Approach for Power Consumption Modeling of Ground Mobile Robots With Unknown Payload
by: Parham Haji Ali Mohamadi, et al.
Published: (2024)

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
by: Bayrooti, Jasmine, et al.
Published: (2024)

Meta-Optimization and Program Search using Language Models for Task and Motion Planning
by: Shcherba, Denis, et al.
Published: (2025)

Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration
by: Li, Guopeng, et al.
Published: (2026)

Anticipatory Task and Motion Planning
by: Dhakal, Roshan, et al.
Published: (2024)

A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
by: Li, Zhuoren, et al.
Published: (2025)

Manipulate as Human: Learning Task-oriented Manipulation Skills by Adversarial Motion Priors
by: Ma, Ziqi, et al.
Published: (2025)

Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills
by: Wan, Weikang, et al.
Published: (2025)

Automated Planning Domain Inference for Task and Motion Planning
by: Huang, Jinbang, et al.
Published: (2024)

Factored Task and Motion Planning with Combined Optimization, Sampling and Learning
by: Ortiz-Haro, Joaquim
Published: (2024)

Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs
by: Zhu, Guobin, et al.
Published: (2025)

A Reachability Tree-Based Algorithm for Robot Task and Motion Planning
by: Kim, Kanghyun, et al.
Published: (2023)

Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators
by: Barjini, Amir Hossein, et al.
Published: (2025)

A Cross-Embodiment Gripper Benchmark for Rigid-Object Manipulation in Aerial and Industrial Robotics
by: Vagas, Marek, et al.
Published: (2025)

Task and Motion Planning for Humanoid Loco-manipulation
by: Ciebielski, Michal, et al.
Published: (2025)

Differentiable GPU-Parallelized Task and Motion Planning
by: Shen, William, et al.
Published: (2024)

COAST: Constraints and Streams for Task and Motion Planning
by: Vu, Brandon, et al.
Published: (2024)

Reinforcement Learning for Elliptical Cylinder Motion Control Tasks
by: Marczewski, Pawel, et al.
Published: (2026)

Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
by: Langmann, Alexander, et al.
Published: (2025)

QBIT: Quality-Aware Cloud-Based Benchmarking for Robotic Insertion Tasks
by: Schempp, Constantin, et al.
Published: (2025)

Reinforcement Learning for Robotic Insertion of Flexible Cables in Industrial Settings
by: Park, Jeongwoo, et al.
Published: (2025)

Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
by: Moller, Korbinian, et al.
Published: (2025)

Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems
by: Wei, Zhongqi, et al.
Published: (2025)

SkillWrapper: Generative Predicate Invention for Task-level Planning
by: Yang, Ziyi, et al.
Published: (2025)

URPlanner: A Universal Paradigm For Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning
by: Ying, Fengkang, et al.
Published: (2025)

Visuotactile-Based Learning for Insertion with Compliant Hands
by: Azulay, Osher, et al.
Published: (2024)

Using VLM Reasoning to Constrain Task and Motion Planning
by: Yan, Muyang, et al.
Published: (2025)

Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning
by: Chen, Hao, et al.
Published: (2024)

Closed-Loop Verbal Reinforcement Learning for Task-Level Robotic Planning
by: Plotnikov, Dmitrii, et al.
Published: (2026)

SafeMove-RL: A Certifiable Reinforcement Learning Framework for Dynamic Motion Constraints in Trajectory Planning
by: Liu, Tengfei, et al.
Published: (2025)

Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks
by: Lenz, Janis, et al.
Published: (2024)

Robotic Grinding Skills Learning Based on Geodesic Length Dynamic Motion Primitives
by: Ke, Shuai, et al.
Published: (2025)