Conference proceeding
Perception and Control Strategies for Driving Utility Vehicles with a Humanoid Robot
2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), pp 973-980
01 Jan 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper describes the hardware and software components of a general-purpose humanoid robot system for autonomously driving several different types of utility vehicles. The robot recognizes which vehicle it is in, localizes itself with respect to the dashboard, and self-aligns in order to interface with the steering wheel and accelerator pedal. Low-and higherlevel methods are presented for speed control, environment perception, and trajectory planning and following suitable for operation in planar areas with discrete obstacles as well as along road-like paths.
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Details
- Title
- Perception and Control Strategies for Driving Utility Vehicles with a Humanoid Robot
- Creators
- Christopher Rasmussen - Dept. Computer & Information Sciences, University of Delaware, USAKiwon Sohn - Drexel UniversityQiaosong Wang - Dept. Computer & Information Sciences, University of Delaware, USAPaul Oh - Drexel UniversityIEEEQi Wang - Global Studies and Modern Languages
- Publication Details
- 2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), pp 973-980
- Series
- IEEE International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Global Studies and Modern Languages
- Web of Science ID
- WOS:000349834601011
- Scopus ID
- 2-s2.0-84911488205
- Other Identifier
- 991019173459404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic
- Robotics