The HCRL, along with 14 other robotics laboratories on campus participated in the ribbon cutting ceremony of our new robotics building. Among the attendees we had the governor or Texas, the secretary of the Army, the president of the university, and the deans of engineering and natural science. It was a splendid day.
We are honored to receive the best paper award published in 2018 from IEEE Transactions on Mechatronics (TMech). Huge congratulations to Donghyun Kim, Junhyeok Ahn, Nick Paine, and Orion Campbell for their effort and contribution to the paper. Click the image below to access the paper:
Virtual presentation and paper on coordinating simultaneous manipulation and locomotion for humanoids and dexterous legged robots.
S. Jorgensen, M. Vedantam, R. Gupta, H. Cappel, and L. Sentis, Finding Locomanipulation Plans Quickly in the Locomotion Constrained Manifold, IEEE International Conference on Robotics and Automation, 2020
We are happy to share that Miguel Arduengo, a joint student between Catalonia’s UPC and our lab at UT Austin, was awarded the best undergraduate thesis prize in artificial intelligence by the Catalan Association of AI. Click on the image for the pdf.
UT’s Human Centered Robotics Group student Steven Jens Jorgensen collaborates with NASA Johnson Space Center (JSC) and affiliates in testing a unique application for NASA’s Valkyrie humanoid robot to semi-autonomously dispose of explosives in a simulated urban scenario. Congratulations to NASA Johnson Space Center’s ER4 division for leading the effort and to personnel from TRACLabs, The Institute for Human Machine and Cognition (IHMC), Jacobs Technology, METECS, CACI, and The University of Texas at Austin for this team accomplishment.
Introducing our work on control of liquid cooled viscoelastic bipedal robots. Apptronik developed for UT Austin this excellent humanoid lower body robot, dubbed DRACO, and students at UT’s HCRL lab devised actuator control algorithms and integrated Time-to-Velocity Reversal Locomotion and Whole-Body Locomotion Control algorithms. The result is unsupported dynamic balancing of DRACO. A link to the paper preprint is here (click on the image):
Apptronik and the Human-Centered Robotics Lab at UT Austin have joined forces to develop a force augmentative exoskeleton called Sagittarius. The video shows a subject wearing a 12 degree-of-freedom human-interactive and high-power density lower-body exoskeleton developed by Apptronik. A whole-body augmentative exoskeleton control algorithm has been jointly developed, allowing the exoskeleton to remove gravitational payload while standing or walking.
This work explores the use of formal methods to construct human-aware robot controllers to support the productivity requirements of humans. We tackle these types of scenarios via human workload-informed models and reactive synthesis. This strategy allows us to synthesize controllers that fulfill formal specifications that are expressed as linear temporal logic formulas.