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All Projects

• Aerial Robot Collision Avoidance

  Sensor technologies and algorithms for achieving better autonomous flight despite the challenges of power and weight.

• Air-Ground Collaboration

  Algorithms to exploit the complementary sensing capabilities provided by air and ground robot platforms.

• Automated Orbital Mapping

  The Automated Orbital Mapping project is developing machine vision techniques to extract features from hyperspectral imagery of Mars. Machine learning is applied to interpret and classify geology and create maps.

• Community Development Technologies

  The TechBridgeWorld initiative creates and delivers technical solutions to advance developing communities around the world.

• Coordinated Assembly Teams

  We are developing human-robot interaction technologies to make autonomous workforces both efficient and reliable by applying techniques for variable autonomy.

• Distributed SensorWebs

  SensorWebs are distributed networks of intercommunicating sensor modules. We are developing wireless technology for distributed sensing and actuation in horticultural environments.

• Dynamic Human-Robot Teams

  We are researching the means to organize and adapt teams of humans and robots to cooperatively accomplish tasks.

• Lunar Regolith Excavation and Transport

  We are developing techniques for excavation and materials transport on the moon and innovating new mechanisms and methods for lunar operations.

• Lunar Prospecting Rover

  Scarab is a rover concept for deploying a drill and instruments to explore craters of the lunar poles and to prospect for elements and compounds, like oxygen and water in the lunar soil.

• Google Lunar X Prize

  Carnegie Mellon Roboticists are currently developing a lunar rover to be part of the first commerical mission to the moon.

• Robot Teams in Dynamic Environments

  Economic principles are proving to be effective and powerful means of controlling capable and reliable multirobot systems. We are creating teams of robots that apply these principles to act effectively in dynamic environments.

• Robotic Desert Racing

  The Red Team put two machines on the Grand Challenge starting line and then across the finish line. We are united to catalyze new technology, to inspire the world, and to build leaders of tomorrow.

• Subterranean Robotics

  To improve the accuracy and completeness of underground information, we are developing robotic exploration, mapping and servicing in underground spaces, such as abandoned mines, caves, and sewers.

• Unmanned Security Robots

  We are developing autonomous all-terrain vehicles to secure borders and facility perimeters. These systems augment effectiveness of security patrols and expand their presence.

• Urban Challenge

  We developed Boss, the autonomous vehicle that won the DARPA Urban Challenge.