Louis Whitcomb
Johns Hopkins University · Mechanical Engineering
Active 1899–2025
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About
Louis Whitcomb is a professor of mechanical engineering at Johns Hopkins University, with a secondary appointment in the Department of Computer Science. He is renowned for his innovative robotics research and development in space, underwater, and other extreme environments, as well as for developing novel systems for medicine and industry. Whitcomb founded and directs the Johns Hopkins Dynamical Systems and Control Laboratory (DSCL), leading student researchers in nonlinear and adaptive control of robot systems, robot actuators and sensors, mechanical design, and control systems design for high-performance robot control. His lab has participated in the development of underwater vehicles for oceanographic science missions, including the Nereus hybrid underwater vehicle that dove to the bottom of the Mariana Trench and the Nereid Under-Ice (NUI) hybrid underwater vehicle deployed under Arctic sea ice in 2014, 2016, and 2019. Whitcomb was co-PI on these vehicle development projects with collaborators at the Woods Hole Oceanographic Institution (WHOI). He has extensive experience from more than 25 oceanographic expeditions and sea-trials. Additionally, he develops manipulators for medical robotic arms to improve control algorithms, enable dexterous surgical tasks, and enhance upper-limb prostheses. Whitcomb served as chair of the Department of Mechanical Engineering from 2013 to 2017 and is the director of the Master of Science in Engineering program for robotics. He was the…
Research topics
- Computer science
- Engineering
- Marine engineering
- Artificial intelligence
- Geology
Selected publications
Remote Sensing · 2020-08-11 · 74 citations
articleOpen accessSenior authorCorrespondingThis paper reviews the scientific motivation and challenges, development, and use of underwater robotic vehicles designed for use in ice-covered waters, with special attention paid to the navigation systems employed for under-ice deployments. Scientific needs for routine access under fixed and moving ice by underwater robotic vehicles are reviewed in the contexts of geology and geophysics, biology, sea ice and climate, ice shelves, and seafloor mapping. The challenges of under-ice vehicle design…
Teleoperation and Visualization Interfaces for Remote Intervention in Space
Frontiers in Robotics and AI · 2021-12-01 · 22 citations
articleOpen accessSenior authorApproaches to robotic manufacturing, assembly, and servicing of in-space assets range from autonomous operation to direct teleoperation, with many forms of semi-autonomous teleoperation in between. Because most approaches require one or more human operators at some level, it is important to explore the control and visualization interfaces available to those operators, taking into account the challenges due to significant telemetry time delay. We consider one motivating application of remote tele…
Interactive Planning and Supervised Execution for High-Risk, High-Latency Teleoperation
2020-10-24 · 16 citations
articleGround-based teleoperation of robot manipulators for on-orbit servicing of spacecraft represents an example of high-payoff, high-risk operations that are challenging to perform due to high latency communications, with telemetry time delays of several seconds. In these scenarios, confidence of operating without failure is paramount. We report the development of an Interactive Planning and Supervised Execution (IPSE) system that takes advantage of accurate 3D reconstruction of the remote environme…
International Journal of Adaptive Control and Signal Processing · 2021-03-25 · 13 citations
articleSenior authorCorrespondingAbstract This article reports the development, stability analysis, and experimental evaluation of a novel adaptive identification (AID) algorithm for underwater vehicles (UVs) for on‐line estimation of plant parameters (hydrodynamic mass, quadratic drag, righting moment, and buoyancy parameters) that enter linearly into 6 degree‐of‐freedom (6‐DOF) second‐order rigid‐body UV plant dynamic models. The reported UV AID method does not require instrumentation of vehicle acceleration as is required of…
The International Journal of Robotics Research · 2023-10-01 · 10 citations
articleSenior authorCorrespondingModel-based approaches to navigation, control, and fault detection that utilize precise nonlinear models of vehicle plant dynamics will enable more accurate control and navigation, assured autonomy, and more complex missions for such vehicles. This paper reports novel theoretical and experimental results addressing the problem of parameter estimation of plant and actuator models for underactuated underwater vehicles operating in 6 degrees-of-freedom (DOF) whose dynamics are modeled by finite-dim…
Recent grants
NIH · $2.0M · 2010
NSF · $607k · 2004–2008
NSF · $500k · 2019–2024
Frequent coauthors
- 70 shared
Gábor Fichtinger
Queen's University
- 62 shared
D. Yoerger
Woods Hole Oceanographic Institution
- 61 shared
Axel Krieger
Johns Hopkins University
- 58 shared
Ergin Atalar
Bilkent University
- 53 shared
Robert C. Susil
Johns Hopkins Hospital
- 48 shared
Kevin Camphausen
National Cancer Institute
- 45 shared
Jonathan Coleman
- 43 shared
C. Norman Coleman
National Cancer Institute
Labs
Dynamical Systems and Control Laboratory (DSCL)PI
Awards & honors
- NSF CAREER Award
- Office of Naval Research Young Investigator Award
- Fellow of the Institute of Electrical and Electronics Engine…
- William H. Huggins Excellence in Teaching Award
- Alumni Excellence in Teaching Award
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