Titlebook: Intelligent Robotics and Applications; 4th International Co Sabina Jeschke,Honghai Liu,Daniel Schilberg Conference proceedings 2011 Springe

主讲人

Real Time Vision Based Multi-person Tracking for Mobile Robotics and Intelligent Vehiclesptop with a CUDA-enabled graphics card. Through shifting the expensive computations to the GPU and making extensive use of scene geometry constraints we could build up a mobile system that runs with 10Hz. We experimentally demonstrate on several challenging sequences that our approach achieves competitive tracking performance.

陪审团

0302-9743 roceedings of the 4th International Conference on Intelligent Robotics and Applications, ICIRA 2011, held in Aachen, Germany, in November 2011. .The 122 revised full papers presented were thoroughly reviewed and selected from numerous submissions. They are organized in topical sections on progress i

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内部

conformity

Biomechatronics for Embodied Intelligence of an Insectoid Robott is fundamental to identify the most important morphological and biomechanical aspects and to associate them with biological control approaches whose function principles rely on those special body features. In a second step, these pairs can be transferred to the robot to lay the foundation for embo

interlude

抱狗不敢前

Helping a Bio-inspired Tactile Sensor System to Focus on the Essentialments for an approach for an active tactile sensor system. This includes a hardware construction as well as a software implementation for interpreting the sensor readings. The discussed tactile sensor is able to detect an obstacle and its location. Furthermore the material properties of the obstacle

implore

Robust Dataglove Mapping for Recording Human Hand Posturesd the under-specified abduction sensors for the fingers. Our focus is on realistically reproducing the posture of the hand as a whole, rather than on accurate fingertip positions. The method proposed in this paper is a vision-free, object free, data glove mapping and calibration method that has been

华而不实

搏斗

Higher Brain Centers for Intelligent Motor Control in Insectssented for the control of object approaches. The model comprises learning abilities of flies at two different time scales. A short-term orientation memory allows for the continued approach of objects that disappeared from sight. Flies can come back to the still invisible object even after a detour t