A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts
A typical manipulation task consists of a manipulator equipped with a gripper to grasp and move an object with constraints on the motion of the hand-held object, which may be due to the nature of the task itself or from object-environment contacts. In this paper, we study the problem of computing jo...
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creator | Mahalingam, Dasharadhan Patankar, Aditya Laha, Riddhiman Lakshminarayanan, Srinivasan Haddadin, Sami Chakraborty, Nilanjan |
description | A typical manipulation task consists of a manipulator equipped with a gripper
to grasp and move an object with constraints on the motion of the hand-held
object, which may be due to the nature of the task itself or from
object-environment contacts. In this paper, we study the problem of computing
joint torques and grasping forces for time-optimal motion of an object, while
ensuring that the grasp is not lost and any constraints on the motion of the
object, either due to dynamics, environment contact, or no-slip requirements,
are also satisfied. We present a second-order cone program (SOCP) formulation
of the time-optimal trajectory planning problem that considers nonlinear
friction cone constraints at the hand-object and object-environment contacts.
Since SOCPs are convex optimization problems that can be solved optimally in
polynomial time using interior point methods, we can solve the trajectory
optimization problem efficiently. We present simulation results on three
examples, including a non-prehensile manipulation task, which shows the
generality and effectiveness of our approach. |
doi_str_mv | 10.48550/arxiv.2410.06295 |
format | Article |
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to grasp and move an object with constraints on the motion of the hand-held
object, which may be due to the nature of the task itself or from
object-environment contacts. In this paper, we study the problem of computing
joint torques and grasping forces for time-optimal motion of an object, while
ensuring that the grasp is not lost and any constraints on the motion of the
object, either due to dynamics, environment contact, or no-slip requirements,
are also satisfied. We present a second-order cone program (SOCP) formulation
of the time-optimal trajectory planning problem that considers nonlinear
friction cone constraints at the hand-object and object-environment contacts.
Since SOCPs are convex optimization problems that can be solved optimally in
polynomial time using interior point methods, we can solve the trajectory
optimization problem efficiently. We present simulation results on three
examples, including a non-prehensile manipulation task, which shows the
generality and effectiveness of our approach.</description><identifier>DOI: 10.48550/arxiv.2410.06295</identifier><language>eng</language><subject>Computer Science - Robotics</subject><creationdate>2024-10</creationdate><rights>http://creativecommons.org/licenses/by-nc-nd/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2410.06295$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2410.06295$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Mahalingam, Dasharadhan</creatorcontrib><creatorcontrib>Patankar, Aditya</creatorcontrib><creatorcontrib>Laha, Riddhiman</creatorcontrib><creatorcontrib>Lakshminarayanan, Srinivasan</creatorcontrib><creatorcontrib>Haddadin, Sami</creatorcontrib><creatorcontrib>Chakraborty, Nilanjan</creatorcontrib><title>A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts</title><description>A typical manipulation task consists of a manipulator equipped with a gripper
to grasp and move an object with constraints on the motion of the hand-held
object, which may be due to the nature of the task itself or from
object-environment contacts. In this paper, we study the problem of computing
joint torques and grasping forces for time-optimal motion of an object, while
ensuring that the grasp is not lost and any constraints on the motion of the
object, either due to dynamics, environment contact, or no-slip requirements,
are also satisfied. We present a second-order cone program (SOCP) formulation
of the time-optimal trajectory planning problem that considers nonlinear
friction cone constraints at the hand-object and object-environment contacts.
Since SOCPs are convex optimization problems that can be solved optimally in
polynomial time using interior point methods, we can solve the trajectory
optimization problem efficiently. We present simulation results on three
examples, including a non-prehensile manipulation task, which shows the
generality and effectiveness of our approach.</description><subject>Computer Science - Robotics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjr0OgkAQhK-xMOoDWLkvAKKC0dIQfzot7Mmqh67h9siy_j69YOytJjOZmXzG9EdRGM-SJBqiPOkejuM6iKbjedI2uoC1ZStYwMqLuxWo5BlyL7BDvUDquVJBYnuCPTkbbEslR-_GCl7tUb28YFcgM_EZHlRvlnwn8ewsa32LfILtoWk2Z4pHrbqmlWNR2d5PO2awWu7TTfDly0ohh_LKGs7syzn53_gAgORKMg</recordid><startdate>20241008</startdate><enddate>20241008</enddate><creator>Mahalingam, Dasharadhan</creator><creator>Patankar, Aditya</creator><creator>Laha, Riddhiman</creator><creator>Lakshminarayanan, Srinivasan</creator><creator>Haddadin, Sami</creator><creator>Chakraborty, Nilanjan</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20241008</creationdate><title>A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts</title><author>Mahalingam, Dasharadhan ; Patankar, Aditya ; Laha, Riddhiman ; Lakshminarayanan, Srinivasan ; Haddadin, Sami ; Chakraborty, Nilanjan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2410_062953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Robotics</topic><toplevel>online_resources</toplevel><creatorcontrib>Mahalingam, Dasharadhan</creatorcontrib><creatorcontrib>Patankar, Aditya</creatorcontrib><creatorcontrib>Laha, Riddhiman</creatorcontrib><creatorcontrib>Lakshminarayanan, Srinivasan</creatorcontrib><creatorcontrib>Haddadin, Sami</creatorcontrib><creatorcontrib>Chakraborty, Nilanjan</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mahalingam, Dasharadhan</au><au>Patankar, Aditya</au><au>Laha, Riddhiman</au><au>Lakshminarayanan, Srinivasan</au><au>Haddadin, Sami</au><au>Chakraborty, Nilanjan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts</atitle><date>2024-10-08</date><risdate>2024</risdate><abstract>A typical manipulation task consists of a manipulator equipped with a gripper
to grasp and move an object with constraints on the motion of the hand-held
object, which may be due to the nature of the task itself or from
object-environment contacts. In this paper, we study the problem of computing
joint torques and grasping forces for time-optimal motion of an object, while
ensuring that the grasp is not lost and any constraints on the motion of the
object, either due to dynamics, environment contact, or no-slip requirements,
are also satisfied. We present a second-order cone program (SOCP) formulation
of the time-optimal trajectory planning problem that considers nonlinear
friction cone constraints at the hand-object and object-environment contacts.
Since SOCPs are convex optimization problems that can be solved optimally in
polynomial time using interior point methods, we can solve the trajectory
optimization problem efficiently. We present simulation results on three
examples, including a non-prehensile manipulation task, which shows the
generality and effectiveness of our approach.</abstract><doi>10.48550/arxiv.2410.06295</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Robotics |
title | A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts |
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