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Brice Rebsamen

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

4 papers
2 author rows

Possible papers

4

IROS Conference 2012 Conference Paper

Autonomy for mobility on demand

  • Zhuang Jie Chong
  • Baoxing Qin
  • Tirthankar Bandyopadhyay
  • Tichakorn Wongpiromsarn
  • Brice Rebsamen
  • P. Dai
  • S. Kim
  • Marcelo H. Ang

We present an autonomous vehicle providing mobility-on-demand service in a crowded urban environment. The focus in developing the vehicle has been to attain autonomous driving with minimal sensing and low cost, off-the-shelf sensors to ensure the system's economic viability. The autonomous vehicle has successfully completed over 50 km handling numerous mobility requests during the course of multiple demonstrations. The video provides an overview of our approach, with special comments on our localization and perception modules showcasing one such request being serviced.

IS Journal 2007 Journal Article

Controlling a Wheelchair Indoors Using Thought

  • Brice Rebsamen
  • Etienne Burdet
  • Cuntai Guan
  • Haihong Zhang
  • Chee Leong Teo
  • Qiang Zeng
  • Christian Laugier
  • Marcelo H. Ang

The idea of controlling objects or machines through thought is moving from science fiction to reality. This article presents the first working prototype of a brain-controlled wheelchair that can navigate in a typical office or hospital environment. The wheelchair is based on a slow but safe brain-controlled interface using the P300 signal detected from electroencephalography. The authors adapted the system's control strategy to the interface's measured performance. To circumvent the problem caused by the interface's low information rate, a motion guidance strategy provides safe, efficient control without complex sensors or sensor processing. Experiments demonstrated that healthy subjects can safely control the wheelchair in an office-like environment without training. This article is part of a special issue on Interacting with Autonomy.

ICRA Conference 2006 Conference Paper

Design of a Collaborative Wheelchair with Path Guidance Assistance

  • Qiang Zeng
  • Chee Leong Teo
  • Brice Rebsamen
  • Etienne Burdet

This paper describes the development and assessment of a collaborative wheelchair assistant (CWA). The concept at the heart of the CWA is to rely on the user's motion planning skills and assist the maneuvering with path guidance. The user decides where to go and controls the speed (including start and stop), while the system guides the wheelchair along software-defined paths. An intuitive path editor allows the user to modify the path on-line and so avoid dangers or obstacles. By using the human sensory and planning systems, complex sensor processing and artificial decision systems are not needed, making the system safe, simple and low-cost. Experimental results demonstrate this concept

ICRA Conference 2006 Conference Paper

Development of an Elastic Path Controller

  • B. Long
  • Brice Rebsamen
  • Etienne Burdet
  • Chee Leong Teo

An elastic path controller (EPC) is developed in this paper to add "elasticity" to a path following controller and enable dynamic modification of the guiding path for assistive devices based on path guidance. This permits the users to compensate for changes in the environment such as obstacles or error in position sensing. The EPC is demonstrated both on the Scooter cobot and on the collaborative wheelchair assistant (CWA). Simulation results and psychophysical experiments performed with the Scooter suggest that this novel tool is efficient and can help human operators to adapt to environment changes

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