Year: 2019

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

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

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,

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

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

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!