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Peter V. Gavrilov

dblp:249/5703 · DBLP profile ↗
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4ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 since 2021Systems, architecture and hardware · 3 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Legged, aerial and field robots · 62% Robot manipulation · 23% Robot navigation and mapping · 15%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics
1.222023
Mobility Analysis of Screw-Based Locomotion and Propulsion in Various Media · ICRA 2023
ARCSnake: Reconfigurable Snakelike Robot With Archimedean Screw Propulsion for Multidomain Mobility · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots › locomotion
amphibious robot locomotion
0.712023
Mobility Analysis of Screw-Based Locomotion and Propulsion in Various Media · ICRA 2023
Robotics › Robot manipulation
modular robot
0.412020
ARCSnake: An Archimedes' Screw-Propelled, Reconfigurable Serpentine Robot for Complex Environments · ICRA 2020
Robotics › Robot manipulation › modular robot
reconfigurable robot
0.412020
ARCSnake: An Archimedes' Screw-Propelled, Reconfigurable Serpentine Robot for Complex Environments · ICRA 2020

Methods — techniques the papers use, named apart from their topics

experimental performance analysis · 0.7snakelike robot design · 0.6universal joint orientation control · 0.4archimedes' screw propulsion · 0.4
YearPublicationVenuePosition
2023 Mobility Analysis of Screw-Based Locomotion and Propulsion in Various Media
abstract
Robots “in-the-wild” encounter and must traverse widely varying terrain, ranging from solid ground to granular materials like sand to full liquids. Numerous approaches exist, including wheeled and legged robots, each excelling in specific domains. Screw-based locomotion is a promising approach for multi-domain mobility, leveraged in exploratory robotic designs, including amphibious vehicles and snake robotics. However, unlike other forms of locomotion, there is limited exploration of the models, parameter effects, and efficiency for multi-terrain Archimedes screw locomotion. In this work, we present work towards this missing component in understanding screw-based locomotion: comprehensive experimental results and performance analysis across different media. We designed a mobile test bed for indoor and outdoor experimentation to collect this data. Beyond quantitatively showing the multi-domain mobility of screw-based locomotion, we envision future researchers and engineers using the presented results to design effective screw-based locomotion systems.
Jason Lim, Calvin Joyce, Elizabeth Peiros, Mingwei Yeoh, Peter V. Gavrilov, Sara G. Wickenhiser, Dimitri A. Schreiber, Florian Richter 0002, Michael C. Yip
ICRA5
2023 EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures
abstract
The discovery of ocean worlds such as Enceladus, Titan, and Europa motivates the development of versatile autonomous mobility systems to enable the next era of space exploration where there is large uncertainty in terrain specifications due to a lack of prior surface reconnaissance missions. To explore these environments, we propose Exobiology Extant Life Surveyor (EELS): the first large-scale (4 lm long with 400 Nm peak torque) snake robot. The large scale is achieved by using a screw-based active skin mechanism to decouple motion and shape control. Autonomous mobility for such a system remains an open problem due to its many Degrees of Freedom (DoFs), complex terrain interactions, and intermittent localization failures in GPS-denied perceptually degraded environments due to the presence of fog, dust, featureless terrains, etc. We propose NEO, an autonomy architecture that scales to large DoFs to generate a versatile set of gaits to achieve mobility in unknown extreme environments. We also discuss the resilience capabilities of NEO that achieves closed-loop tracking performance by leveraging exteroception when available but can also operate with proprioception only, leading to resiliency against localization failures via graceful degradation in performance rather than unsafe behaviors. A quantitative hardware evaluation of exteroceptive leader-follower gait is performed indoors on synthetic ice along with qualitative results of field deployment of the proprioceptive leader-follower and sidewinding gaits in extreme environments of icy and sandy terrains with mobility-stressing elements such as trenches, undulations, and steep slopes (up to 35 degrees). We present a set of lessons learned from field deployments with a summary of challenges and open research problems. Video: www.rohanthakker.in/eels-neo-autonomy.html
Rohan Thakker, Michael Paton, Marlin P. Strub, R. Michael Swan, Guglielmo Daddi, Rob Royce, L. Phillipe Tosi, Matthew Gildner, Tiago Stegun Vaquero, Marcel Veismann, Peter V. Gavrilov, Eloise Marteau, Joseph Bowkett, Daniel Loret de Mola Lemus, Yashwanth Kumar Nakka, Benjamin Hockman, Andrew L. Orekhov, Tristan Hasseler, Carl Leake, Benjamin Nuernberger, Pedro Proença, William Reid, William Talbot, Nikola Georgiev, Torkom Pailevanian, Avak Archanian, Eric Ambrose, Jay Jasper, Rachel Etheredge, Christiahn Roman, Dan Levine, Kyohei Otsu, Hovhannes Melikyan, Jeremy Nash, Richard Rieber, Kalind C. Carpenter, Abhinandan Jain, Lori R. Shiraishi, Daniel Pastor 0001, Sarah Yearicks, Michel D. Ingham, Ali Agha, Matthew J. Travers, Howie Choset, Joel W. Burdick, Masahiro Ono
IROS11
2022 ARCSnake: Reconfigurable Snakelike Robot With Archimedean Screw Propulsion for Multidomain Mobility
abstract
Exploring and navigating in extreme environments, such as caves, oceans, and planetary bodies, are often too hazardous for humans, and as such, robots are possible surrogates. These robots are met with significant locomotion challenges that require traversing a wide range of surface roughnesses and topologies. Previous locomotion strategies, involving wheels or ambulatory motion, such as snake platforms, have success on specific surfaces but fail in others, which could be detrimental in exploration and navigation missions. In this article, we present a novel approach that combines snakelike robots with an Archimedean screw locomotion mechanism to provide multiple, effective mobility strategies in a large range of environments, including those that are difficult to traverse for wheeled and ambulatory robots. This work develops a robotic system called ARCSnake to demonstrate this locomotion principle and tested it in a variety of different terrains and environments in order to prove its controllable, multidomain, navigation capabilities. These tests show a wide breadth of scenarios that ARCSnake can handle, hence demonstrating its ability to traverse through extreme terrains.
Florian Richter 0002, Peter V. Gavrilov, Hoi Man Lam, Amir Degani, Michael C. Yip
IEEE Trans. Robotics2
2020 ARCSnake: An Archimedes' Screw-Propelled, Reconfigurable Serpentine Robot for Complex Environments
abstract
This paper presents the design and performance of a new locomotion strategy for serpentine robots using screw propulsion. The ARCSnake robot comprises serially linked, identical modules, each incorporating an Archimedes' screw for propulsion and a universal joint (U-Joint) for orientation control. When serially chained, these modules form a versatile serpentine robot platform which enables the robot to reshape its body configuration for varying environments, typical of a snake. Furthermore, the Archimedes' screws allow for novel omni-wheel drive-like motions by speed controlling their screw threads. This paper considers the mechanical and electrical design, as well as the software architecture for realizing a fully integrated system. The system includes 3N actuators for N segments, each controlled using a BeagleBone Black with a customized power-electronics cape, a 9 Degrees of Freedom (DoF) Inertial Measurement Unit (IMU), and a scalable communication channel over ROS. This robot serves as the first proof-of-concept demonstration of the NASA-JPL Exobiology Extant Life Surveyor (EELS) program that aims to deliver scientific instrumentation deep within the plume vents, caves, and ice sheets of Enceladus and Europa in search for extant lifeforms*.
Dimitri A. Schreiber, Florian Richter 0002, Andrew Bilan, Peter V. Gavrilov, Hoi Man Lam, Casey H. Price, Kalind C. Carpenter, Michael C. Yip
ICRA4