Titlebook: Recent Advances in Robotics and Automation; Gourab Sen Gupta,Donald Bailey,Dale Carnegie Book 2013 Springer-Verlag Berlin Heidelberg 2013

反省

Neural Network Development and Training for the Simulation of Dynamic Robot Movement Behavior,by measuring different robot path segments with varying motion parameters, e.g. speed, payload and path geometry. Different layouts and configurations of feed-forward networks with backpropagation learning algorithms were examined resulting in a multi-layer network based on the calculation of the forward transformation.

斑駁

CON

設(shè)施

A 3D Path Planning Approach Extended by Bifurcation Theory for Formation Flights,nt way. Using multiple UAVs, the problem of coordination has to be solved to decrease the time needed to explore an area. We present an approach for the coordination of UAVs by setting up formation patterns using bifurcation theory. We combine this theory with a potential field approach for exploration, based on harmonic functions.

Condescending

Optical-Inertial Tracking System with High Bandwidth and Low Latency,inertial sensors and a low latency thanks to a direct approach where sensor data is used directly in the data fusion algorithm without previous computations. Experimental data show that the optical-inertial system can indeed track a moving object.

大都市

Closed-Loop Control of Patient Handling Robots, handling robot is introduced which can measure the pose of a patient couch with high accuracy. This enables closed-loop control of the patient couch. In tests on a robot system an average positioning error of 0.12?mm was achieved for a diversity of medically relevant poses.

不在灌木叢中

Vision Based Control for Micro Aerial Vehicles: Application to Sense and Avoid,ectional sensor. Only visual information is used to achieve avoidance under a bearing-only visual servoing approach. We provide theoretical problem formulation, as well as results from real flight using small quadrotors.

machination

Decibel

Neural Network Development and Training for the Simulation of Dynamic Robot Movement Behavior,e presented. For the collection of training data, an approach based on the Levenberg–Marquardt algorithm was used to calibrate the robot and the coordinate measuring machine to a common reference system. A sequential approach for the network design development is presented. The network was verified

一加就噴出

Neural Network Control of Buoyancy-Driven Autonomous Underwater Glider,cludes the presence of disturbance from the water currents, has been designed by using the Newton-Euler method. In order to predict and control the glider motion, a neural network control has been used as a model predictive control (MPC) as well as a gain tuning algorithm. The motion has been contro