University of Rochester Electrical and Computer Engineering’s Post

Trading off between model complexity and horizon length is tricky in any computation-limited control setting. In this work, we get both long horizons in general and high fidelity models when needed by using our "Adaptive Complexity MPC" framework. Great job, Joe Norby, Ardalan Tajbakhsh, and Yanhao Yang! Paper: https://lnkd.in/eFcctT5E #robot #robotics #leggedrobot #mpc #quadruped #controls #controlsystem #trajectoryoptimization

In a recent T-RO paper, researchers from Carnegie Mellon University's College of Engineering and Carnegie Mellon University Robotics Institute developed a novel control algorithm that can reason about model complexity while ensuring feasibility and stability. https://lnkd.in/d6HN-MZs Paper title: Adaptive Complexity Model Predictive Control Paper authors: Joe Norby, Ardalan Tajbakhsh, Yanhao Yang, and Aaron Johnson #ComputationalModeling #HeuristicAlgorithms #LeggedRobots #UnderactuatedRobots

A novel control algorithm that can reason about model complexity while ensuring feasibility and stability.

This course explores the robotics foundations for modelling of robot manipulators. Robotics is commonly defined as the study of the intelligent connection between perception and action. As such, the full scope of robotics lies at the intersection of mechanics, electronics, signal processing, control engineering, computing, and mathematical modelling. https://lnkd.in/d2UeaCej

This course explores the robotics foundations for modelling of robot manipulators. Robotics is commonly defined as the study of the intelligent connection between perception and action. As such, the full scope of robotics lies at the intersection of mechanics, electronics, signal processing, control engineering, computing, and mathematical modelling. https://lnkd.in/d2UeaCej

Robots are being trained at the University of Texas. The Texas Robotics team, consisting of UT researchers and students, is using artificial intelligence to train and control the next generation of robots within the Anna Hiss Gymnasium. Professor Peter Stone mentioned that one of the tasks involves the robot taking a bowl, putting it on the table, and pouring cereal into it. The gymnasium was transformed into the university's robotics lab in 2020, retaining much of the old structure, such as shuffleboard outlines in the concrete hallways and painted lines along the court. It is now being used to train the next generation of robots and artificial intelligence, rather than athletes. Read more: https://lnkd.in/e8EcC_xf

🚨Tomorrow!🚨 Join Professor Gerry Lacey, Dept of Electronic Engineering, for a webinar on the effect of Robotics and AI in Agriculture. With an overview of the MSc in Robotics and Embedded #AI 🤖 To register: https://shorturl.at/fxGO5

Life update! I'm thrilled to share that I have joined the PhD program in Robotics at the University of California, Santa Cruz! My research focus will be Computer Vision for Robotics, and I am specifically interested in exploring applications for manipulators and end effectors. Carrying forward my learnings from the University of Maryland, I look forward to diving deeper and developing more intelligent and dexterous algorithms for robots. If you're working in robotics, computer vision, or a related field, I'd love to connect and explore potential collaborations! #UCSantaCruz #GoSlugs #Robotics #ComputerVision #NewChapter

Would you like to try your planning or machine learning algorithms on a challenging robot manipulation task? See the work of Haining Luo, PhD student at our Personal Robotics Laboratory on benchmarking and simulating bimanual robot shoe lacing, an interesting and fun deformable manipulation task. Details on a paper just out at the IEEE Robotics and Automation Letters: https://lnkd.in/evEEFm8E, or through DOI: https://lnkd.in/eZZ3THHU Open source extensible simulator using the ABB YuMi robot, with some baselines, and a longer video: https://lnkd.in/exSXy_fQ

Another look at last week's brain-drone race—part of broader research into human-robot interaction led by Roya Salehzadeh, assistant professor in the Department of Mechanical, Robotics, and Industrial Engineering, in collaboration with the University of Alabama. The research, conducted in the Human Emotions and Robotics lab, envisions a future in which brain-computer interfaces allow for the operation of devices and systems through mental commands, opening new applications across a range of fields. ✨ Be curious. Make magic. ✨ #WeAreLTU