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Andrew Mishkin

dblp:32/126 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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
1 paper
Legged, aerial and field robots · 62% Robot navigation and mapping · 19% Motion planning and robot control · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
planetary rover
0.011992
Robotic vehicles for planetary exploration · ICRA 1992
Robotics › Motion planning and robot control › robot control
behavior control
0.011992
Robotic vehicles for planetary exploration · ICRA 1992
Robotics › Robot navigation and mapping
mobile robot navigation
0.011992
Robotic vehicles for planetary exploration · ICRA 1992

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

teleoperation · 0.0behavior control · 0.0
YearPublicationVenuePosition
2001 Autonomously generating operations sequences for a Mars rover using AI-based planning
abstract
This paper discusses a proof-of-concept prototype for ground-based automatic generation of validated rover command sequences. This prototype is based on ASPEN (Automated Scheduling and Planning Environment). This Artificial Intelligence (AI) based planning and scheduling system will automatically generate a command sequence that will execute: within resource constraints and satisfy flight rules. An automated planning and scheduling system encodes rover design knowledge and uses the search and reasoning techniques to automatically generate low-level command sequences while respecting the rover operability constraints. This prototype planning system has been field-tested using the Rocky-7 rover at JPL, and will be field-tested on more complex rovers to prove its effectiveness before transferring the technology to flight operations for an upcoming NASA mission. The goal-driven commanding of planetary rovers greatly reduces the requirements for highly skilled rover engineering personnel. This in turn greatly reduces mission operations costs and permits a faster response to changes in rover states.
Rob Sherwood, Andrew Mishkin, Tara A. Estlin, Steve A. Chien, Paul Backes, Jeffrey S. Norris, Brian K. Cooper, Scott Maxwell, Gregg R. Rabideau
IROS2
1992 Robotic vehicles for planetary exploration
abstract
A program to develop planetary rover technology is underway at the Jet Propulsion Laboratory (JPL) under sponsorship of NASA. Developmental systems with the necessary sensing, computing, power, and mobility resources to demonstrate realistic forms of control for various missions have been developed, and initial testing has been completed. These testbed systems and the associated navigation techniques used are described. Particular emphasis is placed on three technologies: Computer-Aided Remote Driving (CARD), Semiautonomous Navigation (SAN), and behavior control. It is concluded that, through the development and evaluation of such technologies, research at JPL has expanded the set of viable planetary rover mission possibilities beyond the limits of remotely teleoperated systems such as Lunakhod. These are potentially applicable to exploration of all the solid planetary surfaces in the solar system, including Mars, Venus, and the moons of the gas giant planets.>
Brian H. Wilcox, Larry H. Matthies, Donald B. Gennery, Brian K. Cooper, Todd E. Litwin, Andrew Mishkin, Henry W. Stone
ICRA7