The Robotics Institute
Carnegie Mellon Robotics Institute
Carnegie Mellon Robotics Institute
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Autonomous Vineyard Canopy and Yield Estimation The research project aims to design and demonstrate new sensor technologies for autonomously gathering crop and canopy size estimates from a vineyard -- expediently, precisely, accurately and at high-resolution -- with the goal to improve vineyard efficiency by enabling producers to measure and manage the principal components of grapevine production on an individual vine basis. |
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Cluster: Coordinated Robotics for Material Handling Planetary robots which perform assembly tasks to prepare for human exploration must be able to operate in unmodeled environments and in unanticipated situations. We are working on a system of mobile robots that perform precise coordinated maneuvers for transporting assembly materials. We are also developing an interface that allows an operator to step in at various levels of autonomy, providing the system with both the efficiency of an autonomous system and the reliability of a human operator. |
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Comprehensive Automation for Specialty Crops (CASC) CASC is a multi-institutional initiative led by Carnegie Mellon Robotics Institute to comprehensively address the needs of specialty agriculture focusing on apples and horticultural stock. |
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EMBER The Ember project uses multi-agent teams, comprised of autonomous and human agents, to achieve effective results under emergency situations. |
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Intelligent Monitoring of Assembly Operations (IMAO) Our goal is to allow people and intelligent and dexterous machines to work together safely as partners in assembly operations performed within industrial workcells. To ensure the safety of people working amidst active robotic devices, we use vision and 3D sensing technologies, such as stereo cameras and flash LIDAR, to detect and track people and other moving objects within the workcell. |
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Low-Flying Air Vehicles We leverage perception technology originally developed for ground-based robot vehicles during 20 years of research at the Field Robotics Center. We combine this proven perception and control technology with aircraft-centric engineering and optimization. |
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Quality of Life Technology (QoLT) QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people. Note: The QoLT Project has been superseded by the QoLT Center. |
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Riverine Mapping This project is developing technology to map riverine environments from a low-flying rotorcraft. Challenges include dealing with varying appearance of the river and surrounding canopy, intermittent GPS and a highly constrained payload. We are developing self-supervised algorithms that can segment images from onboard cameras to determine the course of the river ahead, and we are developing devices and methods capable of mapping the shoreline. |
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Sense and Avoid We are developing Unmanned Aerial Vehicles (UAVs) that sense and avoid autonomously. |
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TRESTLE: Autonomous Assembly by Teams of Coordinated Robots The TRESTLE project is developing the architectural framework necessary to coordinate robots performing complex assembly projects. |
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UAV/UGV Air-Ground Collaboration This project is concerned with the development of a distributed estimation system of collaborating UAVs (Unmanned Aerial Vehicle) and AGVs (Autonomous Ground Vehicles) that detect, track and estimate the location of a person, vehicle or object of interest on the ground. |
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