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ICANN
1997
Springer
13 years 8 months ago
Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated Evolution
We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses v...
Titus R. Neumann, Susanne A. Huber, Heinrich H. B&...
IROS
2009
IEEE
164views Robotics» more  IROS 2009»
13 years 11 months ago
Visual steering of UAV in unknown environments
— In this paper, we propose a novel approach for the visual navigation of unmanned aerial vehicles (UAV). In contrast to most available methods, a single perspective camera is us...
Chunrong Yuan, Fabian Recktenwald, Hanspeter A. Ma...
CEC
2007
IEEE
13 years 11 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
IROS
2006
IEEE
147views Robotics» more  IROS 2006»
13 years 10 months ago
Opportunistic Use of Vision to Push Back the Path-Planning Horizon
Abstract— Mobile robots need maps or other forms of geometric information about the environment to navigate. The mobility sensors (LADAR, stereo, etc.) on these robotic vehicles ...
Bart C. Nabbe, Derek Hoiem, Alexei A. Efros, Marti...
APSEC
2005
IEEE
13 years 10 months ago
Simulation-based Validation and Defect Localization for Evolving, Semi-Formal Requirements Models
When requirements models are developed in an iterative and evolutionary way, requirements validation becomes a major problem. In order to detect and fix problems early, the speci...
Christian Seybold, Silvio Meier