Field Robotics Center Seminar
SLAM and 3D Reconstruction using Imaging Sonar
Abstract Underwater localization and mapping are unusually difficult problems in robotics due to the poor propagation of light through water, which prohibits receiving GPS signals underwater and using cameras to see more than a few meters in turbid water. Due to this, acoustic imaging sonars have been widely used on underwater vehicles as the primary [...]
High-Fidelity Perceptual Representations via Hierarchical Gaussian Mixture Models
Event Location: NSH 1507Bio: Shobhit Srivastava is an M.S. student in the Robotics Institute at Carnegie Mellon University, advised by Prof. Nathan Michael. The primary focus of his research is to enable high-fidelity and efficient multimodal environment modeling on mobile autonomous systems to enable efficient inference with respect to the environment. He previously received his [...]
State Estimation and Localization for ROV-Based Reactor Pressure Vessel Inspection Using a Pan-Tilt-Zoom Camera
Event Location: NSH 1305Bio: Timothy E. Lee is a M.S. in Robotics graduate student at Carnegie Mellon University, advised by Prof. Nathan Michael. Timothy's field robotics research seeks to enable robust, efficient, and autonomous inspection of critical infrastructure. Specifically, he is working towards improving the efficiency of nuclear power by enabling camera-based navigation of underwater [...]
Detecting and Grasping Sorghum Stalks in Outdoor Occluded Environments
Event Location: GHC 6501Bio: Merritt Jenkins is an M.S. student in the Robotics Institute at Carnegie Mellon University, advised by Dr. George Kantor. Merritt's field robotics research focuses on perception and intelligent manipulation of plants in outdoor environments, enabling plant breeders and geneticists to make better-informed breeding decisions. Prior to CMU, Merritt received a B.E. [...]
Adaptive Spectroscopic Exploration Driven by Science Hypotheses for Geologic Mapping
Event Location: NSH 1507Bio: Alberto Candela Garza is an M.S. in Robotics student at Carnegie Mellon University, advised by Prof. David Wettergreen. Alberto is affiliated to the Field Robotics Center and is interested in science autonomy for planetary rovers. Prior to CMU, Alberto received a B.S. in Mechatronics Engineering and a B.S. in Industrial Engineering [...]
Software Development for Robotic Systems: some ideas about how to improve it
Event Location: NSH 1507Bio: Silvio joined the FRC group in 2012 and since then worked with several unmanned ground and aerial vehicles doing a lot of systems integration, testing and performance improvements. Before joining the FRC, he worked for several consumer electronics industries for more than 10 years developing embedded software using both conventional and [...]
Fusion of Cameras and Sparse Ranging Measurements in Multi‐agent SLAM
Abstract Cameras are widely used for localization and navigation in GNSS‐denied environments. By exploiting VSLAM (Visual Simultaneous Localization and Mapping) techniques, vehicles equipped with cameras are capable of estimating their own trajectories and simultaneously building a map of the surrounding environment. In many applications, multiple cooperative robotic agents (robotic swarms) are used in order to [...]
Carnegie Mellon University
Dense Planar-Inertial SLAM for Large Indoor 3D Reconstruction
Abstract Reconstructing the dense 3D models of indoor environments in real-time is key to many robotics applications, such as navigation, inspection, and augmented reality. It is also a challenging problem due to the accumulation of drift, large amount of data, limited computation, and occasional lack of visual features. We develop an RGB-D simultaneous localization and [...]
Planning Algorithms for Multi-Robot Active Perception
Abstract A fundamental task of robotic systems is to use on-board sensors and perception algorithms to understand high-level semantic properties of an environment. The performance of perception algorithms can be greatly improved by planning the motion of the robots to obtain high-value observations. In this talk I will present a suite of planning algorithms we [...]