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ICRA 2011

Graphical State Space Programming: A visual programming paradigm for robot task specification

Conference Paper Computer Vision I: Model Artificial Intelligence · Robotics

Abstract

We describe a framework that combines a software development paradigm, a software visualization technique, and a tool for robot programming. This infrastructure is called “Graphical State Space Programming” (GSSP), and allows robot application programs to be decomposed and visualized within state-dependent views. Our approach simplifies and expedites the programming process for robot routines and behaviors, and we examine the performance improvement that ensues through a set of controlled user studies. The usability and effectiveness of GSSP are also illustrated using a field demonstration with an aerial robotic vehicle.

Authors

Keywords

  • Programming
  • Robot kinematics
  • Mobile robots
  • Visualization
  • Writing
  • Joining processes
  • State Space
  • Robotic Tasks
  • Visual Programming
  • Graphics Program
  • Programming Paradigm
  • User Study
  • Aerial Vehicles
  • Robot Behavior
  • Robot Programming
  • State Variables
  • Sequence Of Actions
  • Conflict Resolution
  • Unmanned Aerial Vehicles
  • Application Programming Interface
  • Fuzzy Logic
  • State-space Model
  • Behavioral Reactions
  • Robot Control
  • Geometric Constraints
  • Expert Users
  • Code Blocks
  • Program Sessions
  • Robot State
  • Planning Of Robots
  • Home Base
  • Robot Operating System
  • Function Calls
  • Execution Plan
  • Global Path
  • Battery Level

Context

Venue
IEEE International Conference on Robotics and Automation
Archive span
1984-2025
Indexed papers
30179
Paper id
951965299288817441
v2026.09.13