What if a drone could build structures humans can't reach? We investigate integrating underactuated multicopters with 3D printing for large-scale remote additive manufacturing — demonstrating aerial positioning accuracy competitive with ground-based …
In recent years, large-scale and fully-remote 3D printing with robots has garnered significant interest in construction applications. Combining the design freedom of 3D printing with a robot's versatility offers unique and promising opportunities for …
An increasing number of laser powder bed fusion machines use off-axis infrared cameras to improve online moni- toring and data-driven control capabilities. However, there is still a severe lack of algorithmic solutions to properly process the …
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 …
Awardee of the Mechanical Engineering Department Award for the 2021 Graduate and Industry Networking Event by the University of Texas at Austin for outstanding research.
We present a novel unsupervised deep learning approach that utilizes an encoder-decoder architecture for detecting anomalies in sequential sensor data collected during industrial manufacturing. Our approach is designed to not only detect whether …
Unstable flight, premature extrusion, material that refuses to adhere — this is what aerial 3D printing looks like at the start. We document the first prototype test of a multi-year aerial additive manufacturing research program, including what went …
Building high quality parts is still a key challenge for Selective Laser Sintering machines today due to a lack of sufficient process control. In order to improve process control, we propose a Predictive Iterative Learning Control (PILC) controller …
Pitched and secured five-figure funding from Sandia National Labs for a novel laser pre-scan process that enhances part quality in selective laser sintering (3D printing).