Robotic Grasp Synthesis Using Deep Learning Approaches: A Survey

Dhaval R. Vyas; Anilkumar Markana; Nitin Padhiyar

doi:10.1007/978-981-15-9953-8_11

ScienceGate Book Chapters

BOOK-CHAPTER

Robotic Grasp Synthesis Using Deep Learning Approaches: A Survey

Dhaval R. Vyas Anilkumar Markana Nitin Padhiyar

Year: 2021 Advances in intelligent systems and computing Pages: 117-130 Publisher: Springer Nature

DOI: 10.1007/978-981-15-9953-8_11

Get Full-Text PDF Get Analytical Report

Keywords:

Deep learning Artificial intelligence GRASP Computer science Unavailability Task (project management) Convolutional neural network Machine learning Artificial neural network Object (grammar) Engineering

Metrics

Cited By

3.60

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Robot Manipulation and Learning

Physical Sciences → Engineering → Control and Systems Engineering

Soft Robotics and Applications

Physical Sciences → Engineering → Biomedical Engineering

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Robotic Grasp Synthesis Using Deep Learning Approaches: A Survey

Metrics

Citation History

Topics

Related Documents

Robotic Grasp Pose Detection Using Deep Learning

Biomimetic Grasp Control of Robotic Hands Using Deep Learning

Regression based robotic grasp detection using Deep learning and Autoencoders

Robotic grasp manipulation using evolutionary computing and deep reinforcement learning

Estimating Grasp Pose Using Deep Learning Architectures for Intelligent Robotic Manipulation