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Mark Mote

dblp:179/2532 · also Mark L. Mote · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Theory of computation · 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
1 paper
Motion planning and robot control · 67% Multi-agent systems · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
multi-robot control
0.312017
The Robotarium: A remotely accessible swarm robotics research testbed · ICRA 2017
Robotics › Motion planning and robot control
safety guarantees
0.312017
The Robotarium: A remotely accessible swarm robotics research testbed · ICRA 2017
Knowledge, reasoning and agents › Multi-agent systems
swarm robotics
0.312017
The Robotarium: A remotely accessible swarm robotics research testbed · ICRA 2017

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

safety routines · 0.3coordinated control · 0.3
YearPublicationVenuePosition
2021 Verification and runtime assurance for dynamical systems with uncertainty
abstract
In this work, we show how controlled robustly forward invariant sets for systems with disturbances are efficiently identified via the application of the mixed monotonicity property. A mixed monotone system can be embedded in a related deterministic embedding system with twice as many states but for which the dynamics are monotone; one can then apply the powerful theory of monotone dynamical systems to the embedding system to conclude useful properties of the initial mixed monotone system. Using this technique, we present a method for verifying state-feedback controllers against safety (set invariance) constraints, and our approach involves evaluating a control barrier function type condition that requires the vector field of the embedding system to point into a certain southeast cone. This approach also facilitates the construction of runtime assurance mechanisms for controlled systems with disturbances, and we study system safety in the presence of state uncertainty as well. The results and findings of this work are demonstrated through two numerical examples where we study (i) the verification of a controlled spacecraft system against a safety constraint, and (ii) the formation of a runtime assurance mechanism that functions in the presence of uncertain state measurements.
Matthew Abate, Mark Mote, Eric Feron, Samuel Coogan 0001
HSCC2
2017 The Robotarium: A remotely accessible swarm robotics research testbed
abstract
This paper describes the Robotarium -- a remotely accessible, multi-robot research facility. The impetus behind the Robotarium is that multi-robot testbeds constitute an integral and essential part of the multi-robot research cycle, yet they are expensive, complex, and time-consuming to develop, operate, and maintain. These resource constraints, in turn, limit access for large groups of researchers and students, which is what the Robotarium is remedying by providing users with remote access to a state-of-the-art multi-robot test facility. This paper details the design and operation of the Robotarium and discusses the considerations one must take when making complex hardware remotely accessible. In particular, safety must be built into the system already at the design phase without overly constraining what coordinated control programs users can upload and execute, which calls for minimally invasive safety routines with provable performance guarantees.
Daniel Pickem, Paul Glotfelter, Li Wang 0050, Mark Mote, Aaron D. Ames, Eric Feron, Magnus Egerstedt
ICRA4