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Carina Kaeser

dblp:416/5332 · DBLP profile ↗
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2ranked-venue papers
2as 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 · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 2 · 2 first-author · 2 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
Robot manipulation · 44% Multi-agent systems · 44% Legged, aerial and field robots · 13%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
collective behavior
0.912025
Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025
Robotics › Robot manipulation
soft robotics
0.912025
Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025
Robotics › Legged, aerial and field robots
bio-inspired robot
0.312025
Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025

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

physics simulation · 1.7haptic feedback · 1.7pneumatic actuation · 0.9
YearPublicationVenuePosition
2025 Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs
abstract
California blackworms constitute a recently identified animal system exhibiting unusual collective behaviors, in which dozens to thousands of worms entangle to form a “blob” capable of actions like locomotion as an aggregate. In this paper we describe a system of pneumatic soft robots inspired by the blackworms, intended for the study of collective behaviors enabled and mediated by such physical entanglement. Both the robots and worms have high aspect ratio ($\gtrsim 1: 50$), intertwine in complex 3D configurations, operate both in air and underwater, and can locomote both individually and as a collective. We demonstrate and characterize locomotion for both individual robots and entangled blobs, explore the tunability of entanglement strength, and compare these to the analogous versions in living worms. The robots provide a testbed for studying mechanisms underlying behaviors observed in worm blobs, as well as serving as a platform for studies of novel collective behaviors based on physical entanglement.
Carina Kaeser, Junghan Kwon, Elio Challita, Harry Tuazon, Robert J. Wood, Saad Bhamla, Justin Werfel
ICRA1
2025 Physical Simulation with Force Feedback Aids Robot Factors Design
abstract
“Robot factors” design, analogous to ergonomics for humans, seeks to create devices and equipment that can be readily operated by robots, by considering typical capabilities of current robots throughout the design process. While a number of principles and heuristics for robot factors design have been identified, the successful design of hardware operable by autonomous robots often depends in practice on the designer's intuition about robot capabilities, developed through personal experience working with robots. Here we present a tool we have developed to help evaluate a potential device design for usability by a robot, by allowing a designer to in effect teleoperate a virtual robot and attempt the operation of the device. The tool uses a 3D physics-based simulation built in Unity, and a Phantom Omni / Geomagic Touch haptic device that controls the virtual robot's end-effector and provides force feedback. Through user studies, we show that the use of this tool can significantly improve a user's estimation of the suitability of a design for robot operation, in two case studies involving replacing a unit in a modular hardware system and unzipping a canvas bag. By incorporating the use of such a tool early in the design cycle, designers can more effectively develop equipment to be used by autonomous robots without themselves needing direct robotics experience; as a result, robots will be able to take on more tasks in the nearer term with current robot technology.
Carina Kaeser, Nathan Melenbrink, Allison Karp, Justin Werfel
ICRA1