Solar-Blind Focal Plane Array Photodetectors for Massive Parallel Processing Application Based on Optoelectronic Integrated Circuit and Field-Programmable Gate Array

Abstract

With the increasing application of human-robot interaction, collision detection between robot and unknown environments, along with further distinction from the intentional contact between human and robot, have become urgent problems to be solved. In this paper, a new collision detection algorithm is proposed, and a collision distinction method is further designed on the basis of this algorithm. The generalized momentum and the convolution method are used to develop the robot convolution filtering dynamic model. Then, the force-sensing observer that uses only proprioceptive sensors is designed to observe the torque deviation of the joint online to realize robot collision detection. At the same time, the performance of the forcesensing observer is improved by compensating for joint friction. The proposed algorithm does not need any external sensors; it overcomes the disadvantage of calculation errors owing to the acquisition of joint acceleration information. The filter can be flexibly selected in the algorithm according to the actual application of the robot. Moreover, two force-sensing observers are adopted in the collision distinction method. The contact or collision between a human and a robot can be further distinguished after setting the appropriate thresholds and filtering parameters. The collision detection algorithm can be easily adapted to different types of robot to ensure human safety, and the proposed collision distinction method can be used to improve the work efficiency of the robot. External force sensing experiments show that the low-pass and bandpass observers work well and different force signals can be observed. The collision detection and human-robot interaction experiments are performed to verify that the collision detection algorithm and collision distinction method are reasonable and effective.

Hydrogen Flame Detector with Bioinspired Optoelectronic Integrated Circuit and Field-Programmable Gate Array Using Integrated Three-Dimensional System Architecture

“…The implementation of the motion object detection in the FPGA was described in the first phase. (9) In the first phase, the hydrogen flame was modelled as a moving circle object.…”

“…The motion object detection algorithm in the FPGA has been implemented at the first phase. (9) In this second phase, the EDC along with the readout circuit was fabricated. The proposed smart UV sensor integrates its units by stacking to form a single chip.…”