About the Maryland Robotics Center

The Maryland Robotics Center is an interdisciplinary research center housed in the Institute for Systems Research within the A. James Clark School of Engineering. The mission of the center is to advance robotic systems, underlying component technologies, and applications of robotics through research and educational programs that are interdisciplinary in nature and based on a systems approach.

The center's research activities include all aspects of robotics including development of component technologies (e.g., sensors, actuators, structures, and communication), novel robotic platforms, and intelligence and autonomy for robotic systems. The center consists of faculty members spanning the following academic departments:

Research projects in the center are supported by the major federal funding agencies including NSF, ARO, ARL, ONR, AFOSR, NIH, DARPA, NASA, and NIST.

Current Research Areas

  • Collaborative, Cooperative, Networked Robotics
    bio-inspired robotics concepts, time-delayed robotics, robotic swarms, robotic cooperation under limited communication, and distributed robotics
  • Medical Robotics
    MRI-compatible surgical robotics, haptics-enabled AFM, exoskeletons for rehabilitation, and magnetic micromanipulation for drug delivery.
  • Miniature Robotics
    mesoscale robots; bio-inspired sensing, actuation, and locomotion; cell manipulation (optical, AFM based, and micro fluidics); and micro and nano manipulation (optical and magnetic).
  • Robotics for Extreme Environments
    space robotics and autonomous deep-submergence sampling systems.
  • Unmanned Vehicle
    micro air vehicles, unmanned sea surface vehicles, unmanned underwater vehicles, and planetary surface rovers.
  • Bio-Inspired Robotics
    Robots inspired by biological forms. Bio-inspired design and manufacturing, artificial muscles, adaptive control of bio-inspired robots, biosensors, soft robots, swarming, co-robotics, multifunctional materials and structures, biomaterials, biolocomotion, energy harvesting, autonomy, humanoid robots, modular robots.
  • Cognitive Robotics
    endowing a robot with intelligent behavior by providing it with a processing architecture that  allows it to learn and reason about how to behave in response to complex goals in a complex world. Cognitive robots integrate perception, cognition and action.
  • Social Robotics
    Human-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration.