Field Robotics Center Seminar
Merritt Jenkins

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. [...]

Field Robotics Center Seminar
Alberto Candela Garza

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 [...]

Field Robotics Center Seminar
Silvio Maeta
Systems Engineer (Staff)
Field Robotics Center - Robotics Institute - CMU

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 [...]

Field Robotics Center Seminar
Chen Zhu
Technische Universität München (Technical University of Munich)

Fusion of Cameras and Sparse Ranging Measurements in Multi‐agent SLAM

NSH 1507

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 [...]

Field Robotics Center Seminar
Robotics Institute,
Carnegie Mellon University

Dense Planar-Inertial SLAM for Large Indoor 3D Reconstruction

Newell Simon Hall 1507

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 [...]

Field Robotics Center Seminar
Graeme Best
Ph.D. Candidate
Australian Centre for Field Robotics (ACFR), University of Sydney

Planning Algorithms for Multi-Robot Active Perception

Newell Simon Hall 1507

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 [...]

Field Robotics Center Seminar
Robotics Institute,
Carnegie Mellon University

Belief Space Planning for Reducing Terrain Relative Localization Uncertainty in Noisy Elevation Maps

GHC 4405

Abstract Accurate global localization is essential for planetary rovers to reach science goals and mitigate mission risk. Planetary robots cannot currently use GPS or infrastructure for navigating, and hence rely on terrain for determining global position. Terrain relative navigation (TRN) compares planetary rover-perspective images and 3D models to existing satellite orbital imagery and digital elevation [...]

Field Robotics Center Seminar
Systems Scientist
Robotics Institute,
Carnegie Mellon University

From Robust Real-time SLAM to Safe Collision Avoidance

Newell Simon Hall 1507

Abstract State estimation plays a critical role in a robotic system. The problem is to know where the robot is and how it is oriented. This is very often a building block in the navigation system, which modules in charge of higher level tasks are relied on. Challenges are to carry out state estimation in [...]

Field Robotics Center Seminar
Matthias Althoff
Assistant Professor
Cyber Physical Systems, Technische Universität München (TUM)

Composable Benchmarks for Safe Motion Planning on Roads

Newell-Simon Hall 1305

Abstract Numerical experiments for motion planning of road vehicles require numerous components: vehicle dynamics, a road network, static obstacles, dynamic obstacles and their movement over time, goal regions, a cost function, etc. Providing a description of the numerical experiment precise enough to reproduce it might require several pages of information. Thus, only key aspects are [...]