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…
Here is the pointer to the slides: safety-control-synthesis
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!
Here ares some snippets of a panel that PI, Dr. Sentis, moderated at SXSW 2018.
This paper starts with the speculative fragment: Is it okay for robots to stop objects or other robots that could collide with people?
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.
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 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…
This thesis, written by PhD student Kwan Suk Kim posits that no matter how hard we try, collisions will always happen, and therefore we need to confront and study them both during autonomous navigation or dexterous manipulation. Chapter 5 connects…
Liquid Cooled Viscoelastic actuators are aimed at fielding human-centered lightweight robot structures with high payload capabilities and high mechanical robustness. This technology excels at the following five axes: energy efficiency, torque density, mechanical robustness, position and force controllability.
This study presents a theoretical method for planning and controlling agile bipedal locomotion based on robustly tracking a set of non-periodic keyframe states.
Kwan Suk, successfully defended his PhD Thesis on Intelligent Collision Management in Dynamic Environments for Human-Centered Robots. Huge Congratulations!