The Resilient Intelligent Systems Lab (RISLab) is part of Carnegie Mellon University’s Robotics Institute. The lab, led by PI Wennie Tabib, improves the performance and reliability of autonomous systems.
News
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November 14, 2024
RISLab and NREC Win Best Paper Award at SSRR 2024
New York, November 14 – Researchers from the Resilient Intelligent Systems Lab (RISLab) at the Robotics Institute (RI) and the National Robotics and Engineering Center (NREC) have received the Best Paper Award at the IEEE Symposium on Safety, Security, and Rescue Robotics (SSRR) 2024 for their work titled Rapid Quadrotor Navigation in Diverse Environments using an Onboard Depth Camera. This award recognizes outstanding contributions to field robotics, particularly in advancing safety, security, and rescue operations through innovative navigation technology for multirotor vehicles.
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April 30, 2024
Wennie Presents RISL Research to Members of Congress
Wennie presented RISL research to members of Congress and their staff at the “Robotics for a Better Tomorrow: Robotics Showcase and Demo Day” in Washington, D.C. on April 30.
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April 23, 2024
Kshitij Wins 2024 Alan J. Perlis Graduate Student Teaching Award
Congratulations to Kshitij for winning the 2024 Alan J. Perlis Graduate Student Teaching Award by Carnegie Mellon University’s School of Computer Science (SCS).
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Active Research Projects
Rapid Navigation in Diverse Environments
This research innovates techniques for rapid navigation in forests, caves, and other cluttered, unstructured environments.
Large-Scale Decentralized Multirobot Active Search
This research project leverages reinforcement learning to enable decentralized multirobot active search over large scales.
Collaborative Human-Robot Exploration via Implicit Coordination
This research seeks to enable human-robot collaborative exploration of a-priori unknown enviornments using implicit coordination.
Scalable and Adaptive Aerial Robotic Exploration
This research project develops mapping and planning methods for multirotors to enable memory-efficient exploration while generating a high-fidelity map of the environment.
Assistive Adaptive-Speed Multirotor Teleoperation
This research project seeks to improve assistance to humans operating multirotors through narrow gaps and tunnels.
Autonomous Cave Surveying
This research program develops a method for cave surveying in complete darkness with an autonomous aerial vehicle equipped with a depth camera for mapping, downward-facing camera for state estimation, and forward and downward lights.
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