Author: Luis Sentis

Mobility around Humans with Mercury

This video shows our human-size bipedal robot, Mercury, which has passive ankles, thus relying solely on hip and knee actuation for balance. This capability is not only very difficult to accomplish but enables the robot to rapidly respond to disturbances

New Paper Accepted on IEEE Transactions on Automatic Control

Congratulations to phd student Gray for his new paper!

New Paper Accepted on IEEE Transactions on Mechatronics

Congratulations to postdoc Donghyun, graduate students Junhyeok, Orion, and our former phd student Nick for their great work!

HCRL’s Next Robotic Cohort

PI Luis Sentis poses with Apptronik’s DRACO humanoid robot and SAGIT exoskeleton.

Students and PI Interview for KVUE

IEEE IROS Papers Accepted

Congratulations to Donghyun, Junhyeok, Jaemin, Orion, and Hochul for their accepted papers: D. Kim, J. Lee, O. Campbell, H. Hwang, L. Sentis, Computationally-Robust and Efficient Prioritized Whole-Body Controller with Contact Constraints (arXiv preprint), IEEE International Conference on Intelligent Robots and

Student Bingham presents his research at the American Controls Conference

Here is the pointer to the slides: safety-control-synthesis

Students Gray, Steven and Rachel perform research with Valkyrie at NASA JSC

Students Compete at RoboCup@Home in Montreal

Our students Minkyu, Nico and Arnau, will be competing at RoboCup@Home Domestic Standard Platform in Montreal this week along a larger team. Wishing the whole Austin Villa team best luck!  

Snippets of Panel at SXSW on Mobility Beyond Wheelchairs

Here ares some snippets of a panel that PI, Dr. Sentis, moderated at SXSW 2018.

Compliments to Kwan Suk for his new Paper

This paper starts with the speculative fragment: Is it okay for robots to stop objects or other robots that could collide with people?

Compliments to Rachel and Gray for their new paper

This paper discusses the coupled dynamics between series-elastic actuators and the multi-dof robotics structure followed by neat trajectory optimization to allow the robot to jump.

Compliments to Gray for his Paper

To achieve full mechanical potential we must estimate non-conservative uncertainty bounds. This paper proposes a quadric inclusion formulation aimed at greatly increasing control performance of future robotic systems.  

The Cloud Shared Laboratory for STEM Education

The future of STEM education is here! The University of Texas at Austin teams up with Apptronik Systems to deliver ubiquitous laboratory STEM education around the globe for all communities. How would you like to use NASA inspired actuators for

Jack Hall Successfully Defends his PhD Thesis

Congratulations!

Donghyun Kim Successfully Defends his PhD Thesis

Congratulations!