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Mark M. Tobenkin

dblp:66/1855 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Systems, architecture and hardware · 2Artificial intelligence and machine learning · 1Theory of computation · 1

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 · 61% Motion planning and robot control · 39%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › aerial robots
fixed-wing UAV
0.112012
Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates · ICRA 2012
Robotics › Legged, aerial and field robots › aerial robots › aerial physical interaction
perching
0.112012
Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates · ICRA 2012
Robotics › Motion planning and robot control › stability analysis
region of attraction estimation
0.112012
Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates · ICRA 2012
Robotics › Motion planning and robot control › motion planning
feedback motion planning
0.012012
Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates · ICRA 2012

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

sums-of-squares optimization · 0.1polynomial barrier approximations · 0.1lyapunov method · 0.1
YearPublicationVenuePosition
2013 Lyapunov analysis of rigid body systems with impacts and friction via sums-of-squares
abstract
Many critical tasks in robotics, such as locomotion or manipulation, involve collisions between a rigid body and the environment or between multiple bodies. Sums-of-squares (SOS) based methods for numerical computation of Lyapunov certificates are a powerful tool for analyzing the stability of continuous nonlinear systems, which can play a powerful role in motion planning and control design. Here, we present a method for applying sums-of-squares verification to rigid bodies with Coulomb friction undergoing discontinuous, inelastic impact events. The proposed algorithm explicitly generates Lyapunov certificates for stability, positive invariance, and reachability over admissible (non-penetrating) states and contact forces. We leverage the complementarity formulation of contact, which naturally generates the semialgebraic constraints that define this admissible region. The approach is demonstrated on multiple robotics examples, including simple models of a walking robot and a perching aircraft.
Michael Posa, Mark M. Tobenkin, Russ Tedrake
HSCC2
2012 Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates
abstract
Dynamic perching maneuvers for fixed-wing aircraft are becoming increasingly plausible due to recent progress in perching using `micro-spines' mounted on tuned suspensions and, separately, on feedback motion planning techniques for post-stall maneuvering. In this paper, we bring these complementary techniques together by efficiently estimating the mechanical stability of the plane when it makes contact with a vertical surface; the resulting landing funnel can then be used in a feedback motion planning algorithm for the flight controller. We consider a simplified model of the perching dynamics and report an extension of the region of attraction techniques, using sums-of-squares optimization, which combines polynomial approximations of barrier constraints with the traditional Lyapunov methods to achieve tight estimation of the true region of attraction for the model. We demonstrate the new method on a variety of design parameters for the perching system, suggesting a potential use as a mechanical system or controller design tool.
Elena L. Glassman, Alexis Lussier Desbiens, Mark M. Tobenkin, Mark R. Cutkosky, Russ Tedrake
ICRA3
2009 Fast Self-stabilization for Gradients
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mark M. Tobenkin
DCOSS4
2008 Hardware Scripting in Gel
abstract
Gel is a hardware description language that enables quick scripting of high level designs and can be easily extended to new design patterns. It is expression oriented and extremely succinct. Modules are described as functions and composed through function calls. Types and bit widths are inferred automatically to guarantee correctness. Together these features reduce hardware development time, allowing complex designs to be scripted quickly. A simulator and logic analyzer are available to help in the development process. A compiler has been developed that translates Gel to Verilog, and a number of applications have been demonstrated. This paper introduces the core language, demonstrates its extensibility, and shows how design patterns can easily be created. Finally, we compare a few applications written in Gel against equivalents written in Verilog.
Jonathan Bachrach, Dany Qumsiyeh, Mark M. Tobenkin
FCCM3