Abstract: This research converges on the motion planning algorithm of industrial robots based on deep learning. During the research process, a dataset encompassing a vast number of industrial robot ...
Researchers at the Indian Institute of Technology (IIT), Madras have developed a class of fast and efficient "motion planning" algorithms which can think like human beings and enable autonomous aerial ...
According to the team, the algorithms have been developed on a novel notion of 'Generalised Shape Expansion' (GSE) that enables planning for a safe and dynamically feasible trajectory for autonomous ...
Abstract: This study addresses the challenge of generating high-quality motion plans within a short computation time using only a limited dataset. In the informed experience-driven random trees ...
Path Searching: Based on path constraints (e.g., avoiding obstacles), to find the optimal sequence for the robot to travel from the source to the destination without collision. Trajectory Optimization ...
Path Searching: Based on path constraints (e.g., avoiding obstacles), to find the optimal sequence for the robot to travel from the source to the destination without collision. Trajectory Optimization ...
Drones equipped with these algorithms could be extremely useful in disaster management and response situations Satadal Ghosh, an assistant professor at IIT Madras' Department of Aerospace Engineering, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results