Robots in Human Environments: Basic Autonomous Capabilities

Author:

Khatib O.1,Yokoi K.,Brock O.,Chang K.,Casal A.1

Affiliation:

1. Robotics Laboratory, Department of Computer Science, Stanford University, Stanford, CA 94086, USA

Abstract

This article discusses the basic capabilities needed to enable robots to operate in human-populated environments for accomplishing both autonomous tasks and human-guided tasks. These capabilities are key to many new emerging robotic applications in service, construction, field, underwater, and space. An important characteristic of these robots is the “assistance” ability they can bring to humans in performing various physical tasks. To interact with humans and operate in their environments, these robots must be provided with the functionality of mobility and manipulation. The article presents developments of models, strategies, and algorithms concerned with a number of autonomous capabilities that are essential for robot operations in human environments. These capabilities include: integrated mobility and manipulation, cooperative skills between multiple robots, interaction ability with humans, and efficient techniques for real-time modification of collision-free path. These capabilities are demonstrated on two holonomic mobile platforms designed and built at Stanford University in collaboration with Oak Ridge National Laboratories and Nomadic Technologies.

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software

Reference7 articles.

1. Arkin, R. C. (1987). Motor schema-based mobile robot navigation . Int. J. of Robotics Research 8(4): 92–112 .

2. Khatib, O. (1986). Real-time obstacle avoidance for manipulators and mobile robots . Int. J. of Robotics Research 5(1): 90–98 .

3. Khatib, O. (1987). A unified approach to motion and force control of robot manipulators: The operational space formulation . Int. J. of Robotics Research 3(1), 43–53 .

4. Inertial Properties in Robotic Manipulation: An Object-Level Framework

5. Coordination and decentralized cooperation of multiple mobile manipulators

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