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Evan Davies

dblp:190/2834 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-author

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% Legged, aerial and field robots · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › locomotion
brachiation robot locomotion
0.312018
Modeling and Control of Brachiating Robots Traversing Flexible Cables · ICRA 2018
Robotics › Motion planning and robot control
dynamic modeling and control
0.312018
Modeling and Control of Brachiating Robots Traversing Flexible Cables · ICRA 2018
Robotics › Motion planning and robot control
trajectory optimization
0.312018
Modeling and Control of Brachiating Robots Traversing Flexible Cables · ICRA 2018

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

parametric trajectory optimization · 0.3multiple shooting · 0.3
YearPublicationVenuePosition
2018 Modeling and Control of Brachiating Robots Traversing Flexible Cables
abstract
This paper describes the dynamic modeling and locomotion control of a two-link underactuated brachiating robot traversing a flexible cable. A multi-body system comprised of a two-link robot, a flexible cable, and coupling soft junctions is modeled dynamically. This model is used to formulate an energy-minimizing optimal control strategy that includes the effects of cable vibration induced by robot locomotion. Optimized trajectories and control torque profiles are obtained via multiple-shooting and parametric trajectory approaches. Simulation results show that these optimal torque profiles result in energy-efficient continuous brachiation over a flexible cable. Additional studies examine how the optimal torque profiles change depending on the robot's initial position along a catenary cable.
Siavash Farzan, Ai-Ping Hu, Evan Davies, Jonathan D. Rogers
ICRA3
2018 Tarzan: Design, Prototyping, and Testing of a Wire-Borne Brachiating Robot
abstract
A novel brachiating robot design is presented for the purpose of traversing elevated wire networks. The robot is capable of moving along a single wire and between parallel wires, thereby enabling traversal of a two-dimensional space. Several novel features distinguish this design compared to previous brachiating robots. These include the ability to transition to and from both “rope” and “ladder” brachiation modes through an integrated wrist, a locking hand design for minimal power consumption, and distributed electronics packages that communicate wirelessly. A payload mounting point is installed, offering space for a variety of remote sensing packages. Experimental results using a prototype robot demonstrate that the system can reliably brachiate along a single wire, and can also reliably perform a swing-up maneuver after failed swing attempts or when transitioning between the rope and ladder locomotion modes. Energy expenditure for a single swing is quantified using experimental data. Overall, the proposed robot design is shown to provide a promising platform for traversal of wire networks in two dimensions.
Evan Davies, Adam Garlow, Siavash Farzan, Jonathan D. Rogers, Ai-Ping Hu
IROS1