Check out our newest IJRR paper on autonomous locomotion

Our paper, lead by former student Ye Zhao, PI Luis Sentis, and collaborators, Yinan Li, Ufuk Topcu and Jun Liu, Reactive Task and Motion Planning for Robust Whole-Body Dynamic Locomotion in Constrained Environments, is now accepted to The International Journal of Robotics Research. Congratulations to the team! It describes a symbolic planning and subsymbolic control architecture for humanoid robots to autonomously navigate in complex dynamic environments.

Our control architecture paper has been accepted to IJRR

Our paper, lead by students Donghyun Kim, Steven Jorgensen, Jaemin Lee, Junhyeok Ahn, Jianwen Luo, and PI Luis Sentis, Dynamic Locomotion For Passive-Ankle Biped Robots And Humanoids Using Whole-Body Locomotion Control, is now accepted to The International Journal of Robotics Research. Congratulations to the team! It allows line foot robots such as Mercury and Draco to dynamically walk and recover from push disturbances using Whole-Body Controllers.

First Prize for Undergraduate Thesis on Robust Door Operation

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.

Humanoid Robot Improvised Explosive Device Response

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.

Newly available recording of 2015 Hot Science – Cool Talks talk

PI, Dr. Sentis, gave this talk for a 400 people general audience of all ages focusing on engaging K-12 students in robotics.

Paper Submission on Control of Liquid Cooled Viscoelastic Bipedal Robots

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):

Students and PI Enjoying the ICRA Conference

HCRL students, alumni and friends having a good time after presenting and giving a talk at ICRA 2019.

Talk Prof. Sentis at ICRA 2019

Our lab just returned from ICRA 2019 where we had a terrific time. We’re sharing a video of the talk at the workshop on legged robots:

Sagittarius Force Augmentation Exoskeleton Revealed

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.

New paper submissions lead by students Binghan and Rachel

B. He, H. Huang, G.C. Thomas, L. Sentis, Complex Stiffness Model of Physical Human-Robot Interaction: Implications for Control of Performance Augmentation Exoskeletons, Submitted, 2019

R. Schlossman, M. Kim, U. Topcu, L. Sentis, Toward Achieving Formal Guarantees for Human-Aware Controllers in Human-Robot Interactions, Submitted, 2019

Paper Submission: Robots Helping Humans to Coordinate Workload Backlog

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.

Paper Submission: Versatile Door Operation for Autonomous Door Operation

Here, we advance on real-time grasping pose estimation of single or multiple handles from RGB-D images, providing a speed up for assistive human-centered behaviors. We propose a versatile Bayesian framework that endows robots with the ability to infer various door kinematic models from observations of its motion. Combining this probabilistic approach with a state-of-the- art motion planner, we achieve efficient door grasping and subsequent door operation regardless of the kinematic model using the Toyota Human Support Robot.

arXiv Preprint: M. Arduengo, C. Torras, L. SentisA Versatile Framework for Robust and Adaptive Door Operation with a Mobile Manipulator Robot

Our newest preprint on experimental dynamic locomotion is out!

Click below to view the PDF of our work titled: Dynamic Locomotion For Passive-Ankle Biped Robots And Humanoids Using Whole-Body Locomotion Control.

New Breakthrough on Dynamic Locomotion!

Mercury achieves versatile dynamic walking including rough terrain. Congratulations to postdoc Donghyun Kim!

Fun time with visitors thanks to our talented team of researchers!

Top Cited and Read Papers from the International Journal of Humanoid Robotics

We’re delighted to share that our 2016 paper ControlIt!, is the 5th Most Read paper on IJHR and our 2005 and 2004 IJHR papers on Whole-Body Control are the 3rd and 4th Most Cited papers of IJHR!