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Open AccessProceedings ArticleDOI

Time-Optimal Path Tracking via Reachability Analysis

TLDR
A new path controller is proposed that is guaranteed to find feasible reference trajectories by accounting for possible future perturbations and outperforms existing methods.
Abstract
Given a geometric path, the Time-Optimal Path Tracking problem consists in finding the control strategy to traverse the path time-optimally while regulating tracking errors. A simple yet effective approach to this problem is to decompose the controller into two components: (i) a path controller, which modulates the parameterization of the desired path in an online manner, yielding a reference trajectory; and (ii) a tracking controller, which takes the reference trajectory and outputs joint torques for tracking. However, there is one major difficulty: the path controller might not find any feasible reference trajectory that can be tracked by the tracking controller because of torque bounds. In turn, this results in degraded tracking performances. Here, we propose a new path controller that is guaranteed to find feasible reference trajectories by accounting for possible future perturbations. The main technical tool underlying the proposed controller is Reachability Analysis, a new method for analyzing path parameterization problems. Simulations show that the proposed controller outperforms existing methods.

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Citations
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Journal ArticleDOI

Collision-Free Path-Planning for Six-DOF Serial Harvesting Robot Based on Energy Optimal and Artificial Potential Field

TL;DR: This work presents and applies energy optimal and artificial potential field to develop a path planning method for six degree of freedom (DOF) serial harvesting robot under dynamic uncertain environment and shows that the proposed path planning algorithm can be used to the harvesting robot.
Journal ArticleDOI

Control of Wall Mounting Robot

TL;DR: A model-free approach is taken to the control problem of a joystick-controlled wall mounting robot, where the path parameter for the trajectory is adapted online and it is seen that the control scheme results in improved trajectory tracking.
Journal ArticleDOI

A Predictive Technique for the Real-Time Trajectory Scaling under High-Order Constraints

TL;DR: In this article, a nonlinear filter-based approach for real-time generation and modification of trajectories is proposed, which can manage constraints up to the torque derivatives and has evaluation times compatible with the ones required by modern control systems.
Journal ArticleDOI

A Predictive Technique for the Real-Time Trajectory Scaling Under High-Order Constraints

TL;DR: In this paper , a nonlinear filter-based approach for real-time generation/modification of trajectories has been proposed, which is based on the use of nonlinear filters to return feasible solutions under any circumstances.
DissertationDOI

Time-optimal motion planning and control

TL;DR: Development that extend the state-of-the-art in time-optimal motion planning and control for robots is presented, including the existence of switching points with infinite joint jerk and the poor regulation of tracking error.
References
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Survey Constrained model predictive control: Stability and optimality

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Journal ArticleDOI

Time-Optimal Control of Robotic Manipulators Along Specified Paths:

TL;DR: In this paper, the minimum-time manipulator control problem is solved for the case when the path is specified and the actuator torque limitations are known, and the optimal open-loop torques are found, and a method is given for implementing these torques with a conventional linear feedback control system.
Proceedings ArticleDOI

ECOS: An SOCP solver for embedded systems

TL;DR: This paper describes the embedded conic solver (ECOS), an interior-point solver for second-order cone programming (SOCP) designed specifically for embedded applications, written in low footprint, single-threaded, library-free ANSI-C and so runs on most embedded platforms.
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