IEEE

IEEE
GDR Robotique

GDR Bionique
IEEE IEEE/RSJ 2008 International Conference
on Intelligent RObots and Systems
September, 22-26, 2008
Nice, France
IEEE

Workshop on Visual guidance systems for small autonomous aerial vehicles


Date : 22 September 2008
(Full day)

IEEE

Abstract


Starting about 15 years ago with a few number of autonomous helicopter projects, the field of autonomous Unmanned Aerial Vehicles (UAVs) is now composed of an increasing number of new robotic platforms including fixed-wing, rotary-wing and flapping-wing platforms. Several aerial robots are now capable of taking off, landing, hovering and avoiding obstacles autonomously thanks to their large payload that tolerates heavy and power-hungry avionics.

By contrast, autonomous flight in cluttered or indoor environments is still a real challenge. Very few aerial robotic platforms are capable of autonomous indoor flight with all signal-processing tasks running on-board. Unlike any flying insects, which boast extremely small avionic payloads, robotic solutions to small aerial vehicles autonomy seems to lead to the following conclusion: the smaller the UAV, the less autonomous its flight capabilities will be. By comparing different approaches, the workshop will identify possible ways to overcome the current trade-off existing between the UAV size and their flight abilities - which are still way behind those displayed by a common mosquito.


Intended audience


  • Roboticists
  • Researchers in control engineering
  • Researchers in electronics and micro-electronics
  • Researchers in bio-inspired systems
  • Researchers in MEMS and MOEMS

Topics


The topics of interest include:

Sensors and Avionics

  • Embedded electronic architecture (FPGA, DSP, ASIC, micro-controller...) for UAVs
  • Identification of the most relevant sensory modalities
  • Novel visual sensors for autonomous navigation
  • Bio-inspired sensors

Autopilot and Flight abilities

  • Navigation without GPS
  • Navigation in cluttered environments
  • Indoor flight
  • Attitude control
  • Vision-based obstacle avoidance
  • Bio-inspired sensory-motor control systems