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Book ChapterDOI

Iterative Autonomous Excavation

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TLDR
A Cartesian impedance control framework in which reaction forces exceeding control authority directly reshape bucket motion during successive excavation passes is introduced, resulting in an iterative process that does not require explicit prediction of terrain forces.
Abstract
This paper introduces a Cartesian impedance control framework in which reaction forces exceeding control authority directly reshape bucket motion during successive excavation passes. This novel approach to excavation results in an iterative process that does not require explicit prediction of terrain forces. This is in contrast to most excavation control approaches that are based on the generation, tracking and re-planning of single-pass tasks where the performance is limited by the accuracy of the prediction. In this view, a final trench profile is achieved iteratively, provided that the forces generated by the excavator are capable of removing some minimum amount of soil, maintaining convergence towards the goal. Field experiments show that a disturbance compensated controller is able to maintain convergence, and that a 2-DOF feedforward controller based on free motion inverse dynamics may not converge due to limited feedback gains.

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Citations
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Journal ArticleDOI

Planning and Control for Autonomous Excavation

TL;DR: A novel planning and control approach for autonomous excavation that is independent of the soil composition and goes beyond a single dig is presented, and a large-scale iterative planner is proposed to consecutively execute single digs until a desired ground geometry is achieved.
Journal ArticleDOI

A vision-based marker-less pose estimation system for articulated construction robots

TL;DR: This research developed a marker-less pose estimation system for on-site articulated construction robots, which is based on a deep convolutional network human pose estimation algorithm: stacked hourglass network, and demonstrated that the marker- less 2D and 3D pose estimation methods are capable of performing proximity detection and object tracking on construction sites and can overcome the missing data issues encountered in the sensor-based method.
Journal ArticleDOI

Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation

TL;DR: A new control structure for tasks where explicit disturbance compensation is not only critical for overcoming poor feedback performance but is also challenging due to the complexity and nonrepetitive nature of the interaction between the plant and the environment is proposed.
Proceedings ArticleDOI

Machine learning approach to automatic bucket loading

TL;DR: It is proposed that a reinforcement learning approach can be used to further refine models fitted to the behavior of expert drivers, and the scooping problem is briefly discussed in terms of a Markov decision process and possible value functions and policy iteration schemes.
Journal ArticleDOI

Admittance Control for Robotic Loading: Design and Experiments with a 1-Tonne Loader and a 14-Tonne Load-Haul-Dump Machine

TL;DR: In this article, an admittance-based autonomous loading controller (ALC) was used for robotic excavation in fragmented rock piles, similar to those found in operating mines, by using both a robotic 1-tonne capacity Kubota R520S diesel-hydraulic surface loader and a 14-tonnes capacity Atlas Copco ST14 underground load-haul-dump LHD machine.
References
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Proceedings ArticleDOI

Impedance Control: An Approach to Manipulation

TL;DR: In this paper, a unified approach to kinematically constrained motion, dynamic interaction, target acquisition and obstacle avoidance is presented, which results in a unified control of manipulator behaviour.
Journal ArticleDOI

A unified approach for motion and force control of robot manipulators: The operational space formulation

TL;DR: A framework for the analysis and control of manipulator systems with respect to the dynamic behavior of their end-effectors is developed, and the unified approach for motion and force control is developed.
Journal Article

Soft robotics

TL;DR: An analysis on expected advantages and also disadvantages of VSA actuators was presented and two VSA joint designs motivated by this analysis were presented.
Journal ArticleDOI

Learning, planning, and control for quadruped locomotion over challenging terrain

TL;DR: A floating-base inverse dynamics controller that allows for robust, compliant locomotion over unperceived obstacles and the generalization ability of this controller is demonstrated by presenting results from testing performed by an independent external test team on terrain that has never been shown to us.
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