Characterization of Constraints in Flexible Unknown Environments
Samrat Bhattacharyya, Nabil Simaan

TL;DR
This paper introduces an online path planning algorithm enabling robots to safely explore and manipulate flexible, constrained objects in unknown environments by characterizing constraints and stiffness in real time.
Contribution
It presents novel methods for real-time identification and characterization of flexible constraints and stiffness, facilitating safe exploration and manipulation without prior environment knowledge.
Findings
Successful real-time recognition of simple mechanical constraints
Effective characterization of global stiffness behavior
Validated through simulation and experimental results
Abstract
This paper presents an online path planning algorithm for safe autonomous manipulation of a flexibly constrained object in an unknown environment. Methods for real time identification and characterization of perceived flexible constraints and global stiffness are presented. Used in tandem, these methods allow a robot to simultaneously explore, characterize, and manipulate an elastic system safely. Navigation without a-priori knowledge of the system is achieved using constraint exploration based on local force and position information. The perceived constraint stiffness is considered at multiple poses along an object's (system) trajectory. Using stiffness eigenvector information, global stiffness behavior is characterized and identified using an atlas of simple mechanical constraints, such as hinges and planar constraints. Validation of these algorithms is carried out by simulation and…
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Taxonomy
TopicsRobot Manipulation and Learning · Soft Robotics and Applications · Robotic Mechanisms and Dynamics
