Planning and Control

Planning and Control

Adaptive Task Execution in Real-World Environments

Problem Formulation

  • Problem: Robustification of task execution by mobile manipulators in indudstrial environments
  • Challenge: Continuous change in environment configurations
  • Solution: Manipulability validation within dynamic 3D envionment and behavior tree-based recovery system

Approach

  • Developed a simulation module integrating Open3D-based dynamic environment generation with MoveIt! and RViz, enabling comprehensive manipulability analysis across 15 configurable parameters
  • Integrated a collision recovery algorithm and object 3D pose estimation-based action adaptation into a behavior tree for adaptive task execution
  • Set up a real-world demonstration framework by integrating hardware components, including Universal Robots UR5e with a mobile base, Robotiq-85 Gripper, and Azure Kinect Camera, with ROS2

Results

  • Achieved a successful real-world demonstration of task adaptation to dynamic environmental changes
  • Achieved a successful real-world demonstration of task recovery from unexpected environmental interruptions


© 2024. All rights reserved.