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ICRA 1996

Behavior-based mobile manipulation for drum sampling

Conference Paper Accepted Paper Artificial Intelligence ยท Robotics

Abstract

This paper describes an implementation of a behavior-based mobile manipulator capable of autonomously transferring a sample from one drum to a second in unstructured environments. A major contribution of the project was the coherent integration of the arm and base as a cohesive unit, and not just a mobile base with an arm attached. The support for smooth simultaneous operation of all joints on the vehicle facilitated biologically plausible motions, such as arm preshaping. The behavior-based controller used a pseudo-force model, where behaviors add forces and torques to joints and limbs resulting in coordinated motion. The vehicle Jacobian is used to convert the pseudo-forces into joint torques and a pseudo-damping model converts the joint torques into joint velocities. This process allows rapid control of the manipulator without the use of inverse kinematics. A drum sampling task is presented where the vehicle demonstrates how a sample of material could be moved from one drum to another, illustrating the efficacy of the solution.

Authors

Keywords

  • Sampling methods
  • Manipulators
  • Vehicles
  • Mobile robots
  • Motion control
  • Robot vision systems
  • Cameras
  • Wrist
  • Biological system modeling
  • Service robots
  • Mobile Manipulator
  • Fabric Samples
  • Joint Torque
  • Joint Velocity
  • Sequence Detection
  • Visual Search
  • Static Equilibrium
  • Hough Transform
  • Arm Motion
  • Open Hole
  • Ellipse Fitting
  • Robot Base
  • Perception Module

Context

Venue
IEEE International Conference on Robotics and Automation
Archive span
1984-2025
Indexed papers
30179
Paper id
225788838760131926
v2026.09.13