The Robotics Institute
Carnegie Mellon Robotics Institute
Carnegie Mellon Robotics Institute
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Context-sensitive bicycle and pedestrian detection and tracking This project supports the development of algorithms to fuse sensor data from cameras, lidar, and radar for the purposes of detecting and tracking pedestrians and bicycles in proximity to autonomous cars. |
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Inferring Adversarial Intent with Automated Exploratory Behaviors This project examines how an autonomous vehicle can monitor and infer the intent of other vehicles (either human-driven or autonomous) around it. We are studying how the autonomous vehicle can explicitly select actions to perform that will explicitly test the inferred intent of the external vehicles. |
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Intelligent Infrastructure for Automated People Movers We are evaluating sensors and autonomous control mechanisms that will allow for future public transportation systems to perceive the environment and operate more safely and efficiently. |
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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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Snackbot The Snackbot is a mobile robot designed to deliver food to the offices at CMU while engaging in meaningful social interaction. |
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| The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University. Contact Us | Update Instructions |
