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Michael Ferguson

dblp:51/9282 · DBLP profile ↗
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5ranked-venue papers
3as first author
2since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, 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
2 papers
Trustworthy machine learning · 43% Vision and language · 43% Robot manipulation · 11%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › robustness
adversarial robustness
0.712023
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness · ICLR 2023
Computer vision › Vision and language › cross-modal alignment
visual representation alignment
0.712023
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness · ICLR 2023
Bioinformatics and computational biology
computational neuroscience
0.212023
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness · ICLR 2023
Robotics › Robot manipulation
mobile manipulation
0.112011
Playing Chess with a Human-Scale Mobile Manipulator · AAAI 2011
Robotics › Robot manipulation
grasping
0.012011
Playing Chess with a Human-Scale Mobile Manipulator · AAAI 2011
Robotics › Motion planning and robot control
robot control
0.012011
Playing Chess with a Human-Scale Mobile Manipulator · AAAI 2011

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

ROS · 0.1
YearPublicationVenuePosition
2025 Lesion Network Mapping of Cotard's Delusion: Unique and Shared Neural Circuits in Nihilistic Delusions, Misidentification Delusions, and Altered Consciousness
Mengyuan Ding, Morgan Healey, Yaser Sánchez Gama, Erik Asp, Michael Ferguson
CogSci5
2023 Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
Joel Dapello, Kohitij Kar, Martin Schrimpf, Robert Baldwin Geary, Michael Ferguson, David D. Cox, James J. DiCarlo
ICLR5
2012 ROS for educators: teaching with the robot operating system and Microsoft Kinect (abstract only)
abstract
The Microsoft Kinect and Willow Garage's Robot Operating System (ROS) are changing the way robots are developed. Together, these tools can enable today's CS educators to provide richer and more research-representative experiences with robots and perception. This hands-on workshop will introduce ROS and showcase two pilot courses taught using ROS and the Kinect. Four 20-minute talks will intersperse with participants' hands-on development of Python programs on low-cost Kinect-equipped robots and the ARDrone quadcopter. This workshop is intended for all college-level CS educators interested in robotics or embodied AI. First-time ROS/Kinect users are particularly welcome! Laptops and robots will be provided. See http://www.ros.org/wiki/Courses/sigcse2012. Laptops optional.
Michael Ferguson, Julian Mason, Sharon G. Small, Zachary Dodds
SIGCSE1
2011 Playing Chess with a Human-Scale Mobile Manipulator
abstract
This paper describes our efforts preparing a mobile manipulator for the 2011 AAAI Small Scale Manipulation Challenge. We describe our approach to building a low-cost mobile manipulator for human-scale environments using ROS and off-the-shelf sensory and servos.
Michael Ferguson, Kimberly A. Cornell, Joao Salles, James Weis
AAAI1
2011 Nelson: a low-cost social robot for research and education
abstract
A social robot is a robotic platform that supports natural interaction with people in a human-scale environment. Such a platform allows interesting opportunities for both traditional Computer Science students and students from other disciplines, such as psychology, philosophy, design and communications. In this paper, we describe a new social robotic platform for educational uses that is equipped with a social face, arms for gesturing, advanced sensory, mobile base, and ROS integration. By using off-the-shelf and rapidly prototyped components, together with open source software, this platform is low-cost, easy to use, and easy to reproduce.
Michael Ferguson, Nick Webb, Tomek Strzalkowski
SIGCSE1