:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Cho, Minwoo, Jang, Jaehwi, Park, Daehyung
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics
Accesso online:	https://arxiv.org/abs/2507.11000
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SGGNet$^2$: Speech-Scene Graph Grounding Network for Speech-guided Navigation
di: Kim, Dohyun, et al.
Pubblicazione: (2023)

DiSPo: Diffusion-SSM based Policy Learning for Coarse-to-Fine Action Discretization
di: Oh, Nayoung, et al.
Pubblicazione: (2024)

SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments
di: Koh, Keonyoung, et al.
Pubblicazione: (2026)

SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation
di: Jang, Jaehwi, et al.
Pubblicazione: (2025)

Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
di: Song, Minseok, et al.
Pubblicazione: (2025)

A Visuo-Tactile Data Collection System with Haptic Feedback for Coarse-to-Fine Imitation Learning
di: Kim, Yeseung, et al.
Pubblicazione: (2026)

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

Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators
di: Yoon, Minsung, et al.
Pubblicazione: (2026)

Graph-based 3D Collision-distance Estimation Network with Probabilistic Graph Rewiring
di: Song, Minjae, et al.
Pubblicazione: (2023)

Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations
di: Dreher, Christian, et al.
Pubblicazione: (2024)

Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning
di: Yang, Yuxuan, et al.
Pubblicazione: (2025)

Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
di: Wu, Feiyang, et al.
Pubblicazione: (2024)

C2F-Space: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language Models
di: Oh, Nayoung, et al.
Pubblicazione: (2025)

A Survey on Integration of Large Language Models with Intelligent Robots
di: Kim, Yeseung, et al.
Pubblicazione: (2024)

Shielded Reinforcement Learning Under Dynamic Temporal Logic Constraints
di: Yüksel, Sadık Bera, et al.
Pubblicazione: (2026)

LINGO-Space: Language-Conditioned Incremental Grounding for Space
di: Kim, Dohyun, et al.
Pubblicazione: (2024)

Learning and Optimizing the Efficacy of Spatio-Temporal Task Allocation under Temporal and Resource Constraints
di: Liu, Jiazhen, et al.
Pubblicazione: (2026)

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
di: Chen, Letian, et al.
Pubblicazione: (2022)

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
di: Wang, Yanwei, et al.
Pubblicazione: (2022)

Constrained Style Learning from Imperfect Demonstrations under Task Optimality
di: Wen, Kehan, et al.
Pubblicazione: (2025)

Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations
di: Bahar, Serdar, et al.
Pubblicazione: (2026)

CSC-MPPI: A Novel Constrained MPPI Framework with DBSCAN for Reliable Obstacle Avoidance
di: Park, Leesai, et al.
Pubblicazione: (2025)

Logic Learning from Demonstrations for Multi-step Manipulation Tasks in Dynamic Environments
di: Zhang, Yan, et al.
Pubblicazione: (2024)

Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming
di: Borys, Oleh, et al.
Pubblicazione: (2026)

Geometrically-Constrained Radar-Inertial Odometry via Continuous Point-Pose Uncertainty Modeling
di: Yang, Wooseong, et al.
Pubblicazione: (2026)

Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
di: Chaubey, Shivam, et al.
Pubblicazione: (2024)

LodeStar: Maritime Radar Descriptor for Semi-Direct Radar Odometry
di: Jang, Hyesu, et al.
Pubblicazione: (2024)

Multi-Agent Inverse Q-Learning from Demonstrations
di: Haynam, Nathaniel, et al.
Pubblicazione: (2025)

Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching
di: Lin, Xiaoshan, et al.
Pubblicazione: (2024)

Train Robots in a JIF: Joint Inverse and Forward Dynamics with Human and Robot Demonstrations
di: Khandate, Gagan, et al.
Pubblicazione: (2025)

Aligning Human Intent from Imperfect Demonstrations with Confidence-based Inverse soft-Q Learning
di: Bu, Xizhou, et al.
Pubblicazione: (2023)

Safety Verification and Navigation for Autonomous Vehicles based on Signal Temporal Logic Constraints
di: Parameshwaran, Aditya, et al.
Pubblicazione: (2024)

Imaging radar and LiDAR image translation for 3-DOF extrinsic calibration
di: Jung, Sangwoo, et al.
Pubblicazione: (2024)

Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations
di: Peng, Baiyu, et al.
Pubblicazione: (2024)

Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning
di: Kathuria, Tribhi, et al.
Pubblicazione: (2025)

Hierarchical Vision Language Action Model Using Success and Failure Demonstrations
di: Park, Jeongeun, et al.
Pubblicazione: (2025)

Constrained Bimanual Planning with Analytic Inverse Kinematics
di: Cohn, Thomas, et al.
Pubblicazione: (2023)

Propagative Distance Optimization for Constrained Inverse Kinematics
di: Chen, Yu, et al.
Pubblicazione: (2024)

RRT* Based Optimal Trajectory Generation with Linear Temporal Logic Specifications under Kinodynamic Constraints
di: Gautam, Saksham, et al.
Pubblicazione: (2024)

Hysteresis Compensation of Flexible Continuum Manipulator using RGBD Sensing and Temporal Convolutional Network
di: Park, Junhyun, et al.
Pubblicazione: (2024)