A Teleoperation Interface for Loco-Manipulation Control of Mobile Collaborative Robotic Assistant

Yuqiang Wu, Pietro Balatti, Marta Lorenzini, Fei Zhao, Wansoo Kim, Arash Ajoudani

IEEE Robotics and Automation Letters · 2019 · 103 citations · 21 references

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Concepts

TL;DR

MOCA is a lightweight mobile manipulator platform developed at IIT, comprising a manipulator arm, Pisa/IIT SoftHand, and an omni‑wheel base. The paper introduces a novel teleoperation interface that allows remote loco‑manipulation control of MOCA. The interface employs a whole‑body impedance controller with locomotion driven by a center‑of‑pressure model and manipulation guided by a tele‑impedance interface that tracks human arm stiffness and trajectory, and is tested on navigation, door opening, and wall drilling tasks.

Abstract

This letter presents a novel teleoperation interface that enables remote loco-manipulation control of a MObile Collaborative robotic Assistant (MOCA). MOCA is a new research platform developed at the Istituto Italiano di Tecnologia (IIT), which is composed of a lightweight manipulator arm, a Pisa/IIT SoftHand, and a mobile platform driven by four omni-directional wheels. A whole-body impedance controller is consequently developed to ensure accurate tracking of the impedance and position trajectories at MOCA end-effector by considering the causal interactions in such a dynamic system. The proposed teleoperation interface provides the user with two control modes: locomotion and manipulation. The locomotion mode receives inputs from a personalized human center-of-pressure model, which enables real-time navigation of the MOCA mobile base in the environment. The manipulation mode receives inputs from a tele-impedance interface, which tracks human arm endpoint stiffness and trajectory profiles in real time and replicates them using the MOCA's whole-body impedance controller. To evaluate the performance of the proposed teleoperation interface in the execution of remote tasks with dynamic uncertainties, a sequence of challenging actions, i.e., navigation, door opening, and wall drilling, has been considered in the experimental setup.

References

21