E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huber, Johann, Sane, Oumar, Coninx, Alex, Amar, Faiz Ben, Doncieux, Stephane
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Toward a Plug-and-Play Vision-Based Grasping Module for Robotics
di: Hélénon, François, et al.
Pubblicazione: (2023)

Speeding up 6-DoF Grasp Sampling with Quality-Diversity
di: Huber, Johann, et al.
Pubblicazione: (2024)

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation
di: Kappel, Mathilde, et al.
Pubblicazione: (2026)

QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity
di: Huber, Johann, et al.
Pubblicazione: (2024)

Placeit! A Framework for Learning Robot Object Placement Skills
di: Ferrad, Amina, et al.
Pubblicazione: (2025)

Few-shot Quality-Diversity Optimization
di: Salehi, Achkan, et al.
Pubblicazione: (2021)

Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control
di: Salehi, Achkan, et al.
Pubblicazione: (2023)

Closed-loop shape control of deformable linear objects based on Cosserat model
di: Artinian, Azad, et al.
Pubblicazione: (2024)

Optimal Cosserat-based deformation control for robotic manipulation of linear objects
di: Artinian, Azad, et al.
Pubblicazione: (2024)

Enhancing Robustness in Language-Driven Robotics: A Modular Approach to Failure Reduction
di: Garrabé, Émiland, et al.
Pubblicazione: (2024)

Muscle-inspired magnetic actuators that push, pull, crawl, and grasp
di: Khan, Muhammad Bilal, et al.
Pubblicazione: (2026)

Tactile-based force estimation for interaction control with robot fingers
di: Chelly, Elie, et al.
Pubblicazione: (2024)

Loop closure grasping: Topological transformations enable strong, gentle, and versatile grasps
di: Barhydt, Kentaro, et al.
Pubblicazione: (2025)

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance
di: Wang, Dexin, et al.
Pubblicazione: (2024)

Supertoroid fitting of objects with holes for robotic grasping and scene generation
di: Torres, Joan Badia, et al.
Pubblicazione: (2024)

Dexterous grasp data augmentation based on grasp synthesis with fingertip workspace cloud and contact-aware sampling
di: Wu, Liqi, et al.
Pubblicazione: (2026)

Task-Aware Robotic Grasping by evaluating Quality Diversity Solutions through Foundation Models
di: Appius, Aurel X., et al.
Pubblicazione: (2024)

Review on Application of Drone in Spraying Pesticides and Fertilizers
di: Souvanhnakhoomman, Sane
Pubblicazione: (2024)

Statics of continuum planar grasping
di: Halder, Udit
Pubblicazione: (2025)

Kinematics of continuum planar grasping
di: Halder, Udit, et al.
Pubblicazione: (2026)

Soft finger rotational stability for precision grasps
di: Jang, Hun, et al.
Pubblicazione: (2023)

Underactuated dexterous robotic grasping with reconfigurable passive joints
di: Kopicki, Marek, et al.
Pubblicazione: (2025)

Synthesizing multi-log grasp poses in cluttered environments
di: Fälldin, Arvid, et al.
Pubblicazione: (2024)

vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
di: Shi, Yitian, et al.
Pubblicazione: (2024)

Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires
di: Mahajan, Pranav, et al.
Pubblicazione: (2025)

Multi-log grasping using reinforcement learning and virtual visual servoing
di: Wallin, Erik, et al.
Pubblicazione: (2023)

Obstruction reasoning for robotic grasping
di: Jiao, Runyu, et al.
Pubblicazione: (2025)

ATG-MoE: Autoregressive trajectory generation with mixture-of-experts for assembly skill learning
di: Huang, Weihang, et al.
Pubblicazione: (2026)

Dexterous Pre-grasp Manipulation for Human-like Functional Categorical Grasping: Deep Reinforcement Learning and Grasp Representations
di: Pavlichenko, Dmytro, et al.
Pubblicazione: (2023)

Understanding Grasp Synergies during Reach-to-grasp using an Instrumented Data Glove
di: Pratap, Subhash, et al.
Pubblicazione: (2024)

Lan-grasp: Using Large Language Models for Semantic Object Grasping and Placement
di: Mirjalili, Reihaneh, et al.
Pubblicazione: (2023)

Task-oriented grasping for dexterous robots using postural synergies and reinforcement learning
di: Dimou, Dimitrios, et al.
Pubblicazione: (2026)

Pose-free object classification from surface contact features in sequences of Robotic grasps
di: Alves, Teresa, et al.
Pubblicazione: (2024)

Robotically adjustable kinematics in a wrist-driven orthosis eases grasping across tasks
di: Chang, Erin Y., et al.
Pubblicazione: (2024)

A passive universal grasping mechanism based on an everting shell
di: Balakuntala, Mythra V. S., et al.
Pubblicazione: (2026)

Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
di: Zhao, Zihang, et al.
Pubblicazione: (2024)

Generalizable task-oriented object grasping through LLM-guided ontology and similarity-based planning
di: Chen, Hao, et al.
Pubblicazione: (2026)

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
di: Flageat, Manon, et al.
Pubblicazione: (2025)

Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning
di: Li, Alicia, et al.
Pubblicazione: (2024)

Bayesian optimization for robust robotic grasping using a sensorized compliant hand
di: Lechuz-Sierra, Juan G., et al.
Pubblicazione: (2024)