Fire blight can devastate orchards, killing branches and entire trees while causing major economic losses for growers. To help farmers detect the disease earlier and reduce the spread of infection, a team of students from Carnegie Mellon University's Robotics Institute (RI) developed a robotic solution that recently earned national recognition. The team, the Fire Blighters, [...]
The DRIVE Lab performs research on behaviors, planning, control, and perception for autonomous vehicles. Its emphases include socially cooperative autonomous driving, safe control under uncertainty, high-performance driving for autonomous racing, and adaptation to dynamic environments. Adversarial Multi-Agent Systems We want to enable robots to operate safely and optimally in the presence of adverserial agents. Our [...]
Research includes real-time 3D Lidar SLAM, Lidar Odometry and Mapping (LOAM), navigation, planning, and scene understanding. More on Ji Zhang's page. Multi-robot Collaboration Multiple ground and aerial robots collaboratively explore and map, communicating and leveraging all sensing and mobility modalities across the team to maximize the coverage and efficiency by globally optimizing the plan. Efficient [...]
AIIRA’s vision is to create new AI-driven, predictive digital twins for modeling plants, and deploy them to increase the resiliency of the nation’s agricultural systems. AIIRA's institutions cover three of the five major areas of the US mainland, including Midwest, Southwest, and Northeast with stakeholders composed of companies, governmental agencies, commodity groups, prominent centers, and [...]
The goal of the FARM Lab (formerly Kantor Lab) is to develop techniques for perceiving and manipulating plants using robots. The potential applications are broad, and include fruit detection and picking, yield prediction, health assessment, pruning, and crop management, among others. The lab currently has projects spanning outdoor interactions with field crops, indoor work with [...]
The DROP (Deep Robot Optical Perception) Lab's research goal is to develop robotic systems capable of operating in complex dynamic environments. To this end, we seek to expand and improve the perceptual capabilities of autonomous systems. Our work seeks to push the bounds of scale and resolution in 3D reconstruction, segmentation, data mining, and visualization [...]
Please visit our lab site to learn more.
Carnegie Mellon has been a pioneering leader in autonomous transportation and self-driving technologies. The collaboration between CMU and Argo AI will continue to advance important research that will address the consequences of scaling technological innovation to society at large. This center will focus on fundamental research that will produce advanced perception and next-generation decision-making algorithms that enable vehicles to [...]
The Resilient Intelligent Systems Lab (RISLab) is part of Carnegie Mellon University’s Robotics Institute. The lab, led by Director Wennie Tabib, is focused on resilient autonomy and agile flight in complex, unstructured environments. https://www.rislab.org
My research interest is in end-to-end robotic systems tailored for complex outdoor environments, synthesizing cutting-edge research across various branches of robotics to address real-world challenges. This often leads to proof-of-concept robotic systems that demonstrate novel concepts to do things that have never been done before. My particular interest is in agriculture, where I'm fascinated not [...]
The AirLab develops and tests perception and planning algorithms for unmanned air vehicles. View the full Airlab website for much more.
Field robotics is the use of mobile robots in field environments such as work sites and natural terrain, where the robots must safeguard themselves while performing non-repetitive tasks and objective sensing as well as self-navigation in random or dynamic environments. The Field Robotics Center at Carnegie Mellon University is dedicated to the pursuit of this [...]
My research interests center on mobile robots in unpredictable environments, such as natural terrain and outdoor worksites, including computer architectures to control mobile robots, modeling and planning for non-repetitive tasks, complex problems of objective sensing in random or dynamic environments, and integrations of complete field robot systems. Remote Reconnaissance & Inspection The first machines that [...]
I create robots to explore the Earth and space. My research develops autonomous exploration: enabling robots to make decisions based on analysis of observations, measurements, models and plans in order to guide their own exploration and discovery. I investigate multi-modal perception, endurance navigation, resource-cognizant planning, scientific data analysis, and machine learning. These technologies are needed [...]
Autonomous robots have demonstrated enormous potential in fielded environments; however, to be broadly accepted, they need to demonstrate safe and resilient performance in a wide range of varying circumstances, from degraded environmental conditions to different terrains and adverse obstacles. To achieve scalability, these techniques need to be universal. This unconstrained nature of robots in fielded [...]
The control of dynamical systems becomes increasingly important as the era of robotics research dominated by quasi-static machines rapidly comes to a close. Similarly, the importance of state estimation grows as robotic applications require robots to function in larger, more complex environments. My research addresses both of these issues by focusing on the dual problems [...]
Perception is a fundamental challenge for mobile robots navigating through and interacting with their environment. My research focuses on 3D mapping and localization using information from any available sensor, including vision, laser, inertial, GPS and sonar (underwater). To enable online operation, my research also explores novel algorithms for efficient and robust inference at the intersection [...]
I am a Senior Systems Scientist at the Robotics Institute of Carnegie Mellon University and the National Robotics Engineering Center (NREC). My work focuses on using robotics for discovery and exploration, and as a workforce for hazardous duty and in demanding applications. Since 1998, I have led recognized robotic programs and produced robotics systems and [...]
My research goal is to create systems and methodologies that allow groups of robots and humans to collaborate with one another to perform useful tasks. My research is motivated by an interest in the modeling and control of physical systems on the one hand, and in the creation of effective human-machine interfaces on the other. [...]
