During the second half of my PhD research, I became increasingly fascinated with multi-agent drone applications, especially for public safety. Coincidentally, I had also long aspired to start my own company. Thus, while still in the midst of my PhD …
For most of my PhD research at the University of Texas at Austin, I explored the feasibility of integrating underactuated multicopters (a special type of drone) with 3D printing to enable large-scale and fully remote additive manufacturing. My …
This paper presents a self-supervised Learning from Learned Hallucination (LfLH) method to learn fast and reactive motion planners for ground and aerial robots to navigate through highly constrained environments. The recent Learning from …
Part of my research in the Autonomous Systems Group at the University of Texas at Austin included building advanced obstacle avoidance capabilities for the Texas Robotics motion capture space so the group could test their advanced decision-making …
Current limitations in vertical and horizontal mobility for ground robots in 3D printing of medium to large-scale objects have recently led to the development of a 3D printing hexacopter testbed at the University of Texas at Austin. This testbed can …
3D printing using robots has garnered significant interest in manufacturing and construction in recent years. A robot's versatility paired with the design freedom of 3D printing offers promising opportunities for how parts and structures are built in …
This page contains a collection of projects on robot control and mechanism design that I have worked on throughout my graduate studies at the University of Texas at Austin. The first project is a 3-finger gripper mechanism with centralized actuation …
I oversaw the design, construction, and commissioning of the Texas Robotics large-scale motion capture space in the newly-opened robotics facility at the University of Texas at Austin. Located within the historic Anna Hiss Gymnasium, the motion …
Building a drone from scratch is certainly not for the faint of heart. Trying to make the drone deposit material while flying is even more challenging. Here is one of my first attempts.
Inferring spatial-temporal properties from data is important for many complex systems, such as additive manufacturing systems, swarm robotic systems and biological networks. Such systems can often be modeled as a labeled graph where labels on the …