Welcome to the Inside the GRASP Lab video series page! Here you can find and view dedicated short overview videos of the GRASP Lab’s Faculty featuring details on their research groups and areas. For more information about each GRASP Faculty member, you can visit their official profile pages here
In The Lab
Inside the GRASP Lab – Dr. Ani Hsieh and ScalAR Lab
M. Ani Hsieh
Deputy Director, GRASP Lab; Graduate Program Chair, ROBO; Associate Professor, MEAM
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The Scalable Autonomous Robots (ScalAR) Lab is an interdisciplinary lab focused on fundamental research problems in robotics that lie at the intersection of robotics, nonlinear dynamical systems theory, and uncertainty. We focus on developing algorithms for distributed unmanned systems to address the scientific and technological challenges in long-term operation in dynamic and uncertain environments. We are interested in the coordination of heterogeneous robot teams, enabling robots to harness environmental dynamics for improved mobility and control, using robots to track and estimate complex environmental processes, and the design of novel robotic platforms.
Inside the GRASP Lab – Dr. Mark Yim and Modlab
Mark Yim
Director, GRASP Lab; Faculty Director, Design Studio (Venture Labs); Asa Whitney Professor, MEAM
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Welcome to the Modular Robotics Lab (ModLab), a subgroup of the GRASP Lab and the Mechanical Engineering and Applied Mechanics Department at the University of Pennsylvania under the supervision of Prof. Mark Yim. A modular robot is a versatile system consisting of many simple modules that can change their configuration to suit a given task. These systems are inherently robust due to their redundancy, adaptability, and ability to self-repair. While originally focused on continuing research in the field of modular robotics, recent work at the lab has expanded to include micro/nano air vehicles, bio-inspired gaits, personal robots, and more. The ModLab is comprised of undergraduate and graduate students from multiple disciplines including mechanical, electrical, and computer systems engineering.