Copertina

A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Abdelrahman, Ahmed Faisal, Valdenegro-Toro, Matias, Bennewitz, Maren, Plöger, Paul G.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Neuromorphic Attitude Estimation and Control
di: Stroobants, Stein, et al.
Pubblicazione: (2024)

Biologically Inspired Swarm Dynamic Target Tracking and Obstacle Avoidance
di: Page, Lucas
Pubblicazione: (2024)

Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics
di: Kaczmarek, Sylvester
Pubblicazione: (2026)

Optimizing Modular Robot Composition: A Lexicographic Genetic Algorithm Approach
di: Külz, Jonathan, et al.
Pubblicazione: (2023)

Embodied Neuromorphic Control Applied on a 7-DOF Robotic Manipulator
di: Wang, Ziqi, et al.
Pubblicazione: (2025)

A Lightweight and Transferable Design for Robust LEGO Manipulation
di: Liu, Ruixuan, et al.
Pubblicazione: (2023)

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2024)

Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators
di: Fernandez-Fernandez, Raul, et al.
Pubblicazione: (2024)

Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
di: Di Palo, Norman, et al.
Pubblicazione: (2024)

Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot
di: Zellner, Aaron, et al.
Pubblicazione: (2022)

Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning
di: Cheriet, Hichem, et al.
Pubblicazione: (2026)

Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments
di: Liu, Jing, et al.
Pubblicazione: (2023)

Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation
di: Mertan, Alican, et al.
Pubblicazione: (2024)

Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks
di: Lange, Moritz, et al.
Pubblicazione: (2024)

SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning
di: Joshi, Amogh, et al.
Pubblicazione: (2024)

In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators
di: Humeniuk, Dmytro, et al.
Pubblicazione: (2024)

Generalized Early Stopping in Evolutionary Direct Policy Search
di: Arza, Etor, et al.
Pubblicazione: (2023)

Neural reservoir control of a soft bio-hybrid arm
di: Naughton, Noel, et al.
Pubblicazione: (2025)

Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites
di: Mertan, Alican, et al.
Pubblicazione: (2025)

Near-Driven Autonomous Rover Navigation in Complex Environments: Extensions to Urban Search-and-Rescue and Industrial Inspection
di: Shrestha, Dhadkan, et al.
Pubblicazione: (2025)

Distributional Value Estimation Without Target Networks for Robust Quality-Diversity
di: Koohy, Behrad, et al.
Pubblicazione: (2026)

A Universal Flexible Neuromorphic Tactile System with Multithreshold Strategy
di: Liu, Jialin, et al.
Pubblicazione: (2024)

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
di: Liu, Xingyu, et al.
Pubblicazione: (2024)

Neuromorphic Reinforcement Learning for Quadruped Locomotion Control on Uneven Terrain
di: Han, Zhuangyu, et al.
Pubblicazione: (2026)

A Low-Cost Real-Time Spiking System for Obstacle Detection based on Ultrasonic Sensors and Rate Coding
di: Ayuso-Martinez, Alvaro, et al.
Pubblicazione: (2024)

A Bio-mimetic Neuromorphic Model for Heat-evoked Nociceptive Withdrawal Reflex in Upper Limb
di: Wang, Fengyi, et al.
Pubblicazione: (2025)

Object Classification Utilizing Neuromorphic Proprioceptive Signals in Active Exploration: Validated on a Soft Anthropomorphic Hand
di: Wang, Fengyi, et al.
Pubblicazione: (2025)

Active Sensing with Predictive Coding and Uncertainty Minimization
di: Sharafeldin, Abdelrahman, et al.
Pubblicazione: (2023)

Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
di: Elkins, Jacob G., et al.
Pubblicazione: (2024)

Time to Play: Simulating Early-Life Animal Dynamics Enhances Robotics Locomotion Discovery
di: Templier, Paul, et al.
Pubblicazione: (2025)

Online Reliable Anomaly Detection via Neuromorphic Sensing and Communications
di: Shiraishi, Junya, et al.
Pubblicazione: (2025)

Neural Policy Style Transfer
di: Fernandez-Fernandez, Raul, et al.
Pubblicazione: (2024)

Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
di: Joshi, Amogh, et al.
Pubblicazione: (2025)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
di: Murad, Taslim, et al.
Pubblicazione: (2024)

Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision
di: Blessing, Effiong, et al.
Pubblicazione: (2026)

A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data
di: Bano, Iqra, et al.
Pubblicazione: (2024)

SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2024)

TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2023)

Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks
di: Fofanah, Abdul Joseph, et al.
Pubblicazione: (2026)

Design Optimizer for Soft Growing Robot Manipulators in Three-Dimensional Environments
di: Astar, Ahmet, et al.
Pubblicazione: (2024)