Locomotion strategies for legged robotics platform

Locomotion of legged robots is one of the major research projects in robotics since legged robot can traverse more robust terrain than other robots. Different types of gaits and trajectories of legged robots can be used to help human do certain task. The most widely used approaches for locomotion st...

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Main Author: Prihadi, Christopher Denny
Other Authors: Radhakrishnan K
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157993
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1579932023-07-07T19:12:35Z Locomotion strategies for legged robotics platform Prihadi, Christopher Denny Radhakrishnan K School of Electrical and Electronic Engineering A*STAR Institute of Infocommunication Research Michael Chuah ERADHA@ntu.edu.sg Engineering::Electrical and electronic engineering Locomotion of legged robots is one of the major research projects in robotics since legged robot can traverse more robust terrain than other robots. Different types of gaits and trajectories of legged robots can be used to help human do certain task. The most widely used approaches for locomotion strategies these days are the model predictive control approaches. Unfortunately, this approach only works well for short duration dynamic motion planning. A recently developed framework called Trajectory Optimization for Walking Robot can be used to generate motion for longer time horizon with better performance than model predictive control. In this project, we tried to implement and extend this framework to create a silent gait for walking and trotting of the legged robot and to make it able to generate a stair climbing trajectory for legged robot. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-26T12:42:21Z 2022-05-26T12:42:21Z 2022 Final Year Project (FYP) Prihadi, C. D. (2022). Locomotion strategies for legged robotics platform. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157993 https://hdl.handle.net/10356/157993 en B2087-211 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Prihadi, Christopher Denny
Locomotion strategies for legged robotics platform
description Locomotion of legged robots is one of the major research projects in robotics since legged robot can traverse more robust terrain than other robots. Different types of gaits and trajectories of legged robots can be used to help human do certain task. The most widely used approaches for locomotion strategies these days are the model predictive control approaches. Unfortunately, this approach only works well for short duration dynamic motion planning. A recently developed framework called Trajectory Optimization for Walking Robot can be used to generate motion for longer time horizon with better performance than model predictive control. In this project, we tried to implement and extend this framework to create a silent gait for walking and trotting of the legged robot and to make it able to generate a stair climbing trajectory for legged robot.
author2 Radhakrishnan K
author_facet Radhakrishnan K
Prihadi, Christopher Denny
format Final Year Project
author Prihadi, Christopher Denny
author_sort Prihadi, Christopher Denny
title Locomotion strategies for legged robotics platform
title_short Locomotion strategies for legged robotics platform
title_full Locomotion strategies for legged robotics platform
title_fullStr Locomotion strategies for legged robotics platform
title_full_unstemmed Locomotion strategies for legged robotics platform
title_sort locomotion strategies for legged robotics platform
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157993
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