Research Initiatives at the FRC
Autonomous Helicopter Landing
The Boeing Unmanned Little Bird equipped with a sensor payload and algorithms that enabled the first autonomous landing zone evaluation and landing by a full-scale helicopter.
SensorWebs are distributed networks of intercommunicating sensor modules. We are developing wireless technology for distributed sensing and actuation in horticultural environments.
Aerial Robot Collision Avoidance
The Aerial Robot Collision Avoidance project develops sensor technologies and algorithms for achieving better autonomous flight despite the challenges of power and weight.
This project develops algorithms to exploit the complementary sensing capabilities provided by air and ground robot platforms.
High Throughput Phenotyping for Energy Sorghum
We are developing a complimentary suite of robotic data-gathering tools that include autonomous aerial vehicles, ground-based robots, and distributed sensor networks to collect high-precision, high-resolution measurements of plants and environment in field settings throughout the crop life cycle.
Girls of Steel
The FRC mentors the Girls of Steel, an all-girls robotics team that competes in the FIRST Robotics Competition. The team is composed of 40 girls from 20 different high schools in the Pittsburgh area.
Google Lunar X Prize
Carnegie Mellon Roboticists are currently developing a lunar rover to be part of the first commercial mission to the moon.
Like nomadic and migratory species traveling in search of sustenance and temperate climate, Nomadic Rovers will navigate entire moons and planets...
This project is developing technology to map riverine environments from a low-flying rotorcraft.
Shipboard Navigation for Micro Air Vehicles
The goal of this project is to develop an autonomous Micro Air Vehicle to conduct routine shipboard inspections for fire control and damage assessment.
Exploration of Planetary Skylights and Caves
Skylights are recently-discovered “holes” on the surface of the Moon and Mars that may lead to planetary caves. Robots are well-suited to utilize skylights for accessing, exploring, surveying, and operating in cave destinations as low-risk, high-return precursors to human missions.
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.
Rover Wheel Analysis
The rover wheel analysis project analyzes different wheel and grouser designs, using methods developed at CMU.
Visual Yield Mapping
Growers of high-value agriculture require information about the current state of the crop to efficiently manage production. We are designing methods to collect crop information automatically with accuracy, efficiency, precision.