TechSpacialist

Autonomous Systems

Computer vision based Autonomous Navigation

The Autonomous Navigation division at Techspacialist specializes in developing navigation systems for unmanned vehicles, including ground robots, drones, and spacecraft. This team leverages AI, machine learning (ML), and deep learning (DL) to advance computer vision-based navigation. Their goal is to achieve full autonomy, covering areas like object detection, tracking, collision avoidance, path planning, and mission guidance through computer vision. Once fully developed, this technology will be capable of operating in both known and unknown environments, including GPS-supported and GPS-denied scenarios. Current development and demonstrations focus on drone/UAV platforms and ground robots, with plans to expand into various aerospace and space applications.

Drone and UAV Design and Development

Team includes experts in flight mechanics, stability and control, as well as drone design, development, and manufacturing. We have considerable experience in developing multirotor, fixed-wing, and hybrid VTOL drones for a variety of applications. Team is capable of developing drones till TRL 5/6 (scaled down model), including, design, CFD analysis, Wind tunnel testing, validation of flight parameters with flight test etc.

Satellites and Spacecrafts

Team is having consultants and  advisors from Space sector with 25+ years of experience in satellite and spacecraft development and testing and we can provide our services to design and build spacecraft and space mission tailored to specific mission needs.