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Ryo Takei

dblp:13/9265 · DBLP profile ↗
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2ranked-venue papers
2as first author
1since 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 · 1 since 2021Systems, architecture and hardware · 2 · 2 first-author · 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
Robot manipulation · 86% Motion planning and robot control · 14%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › actuator design
cable-driven transmission
0.912025
Design and Evaluation of High-Performance Motion-Decoupled Cable Transmission Modules · ICRA 2025
Robotics › Robot manipulation
robot actuation
0.912025
Design and Evaluation of High-Performance Motion-Decoupled Cable Transmission Modules · ICRA 2025
Medical and health informatics › surgical robotics
robot-assisted surgery
0.312025
Design and Evaluation of High-Performance Motion-Decoupled Cable Transmission Modules · ICRA 2025
Robotics › Motion planning and robot control
collision avoidance
0.112012
Time-optimal multi-stage motion planning with guaranteed collision avoidance via an open-loop game formulation · ICRA 2012
Robotics › Motion planning and robot control › motion planning › optimal motion planning
time-optimal motion planning
0.112012
Time-optimal multi-stage motion planning with guaranteed collision avoidance via an open-loop game formulation · ICRA 2012
Algorithmic game theory and mechanism design › non-cooperative game
differential game
0.012012
Time-optimal multi-stage motion planning with guaranteed collision avoidance via an open-loop game formulation · ICRA 2012

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

rolling-plus-twist joint design · 1.7ball-bearing supported cable capstan · 1.7optimal control · 0.3open-loop game formulation · 0.3fast marching method · 0.3
YearPublicationVenuePosition
2025 Design and Evaluation of High-Performance Motion-Decoupled Cable Transmission Modules
abstract
Cable transmissions are commonly used in robotics for remote force transmission, offering a lightweight, compact, and efficient solution for transmitting high forces between input and output. However, cables in flexible compression housings (Bowden cables), exhibit high static friction, which increases exponentially with total bend angle. Alternatively, internally routed ball-bearing supported cable capstan transmissions are low friction, but complex and present challenges in routing multiple sets of cables. In this paper, we propose motion-decoupled cable transmission modules that address these challenges, occupying the middle ground, functioning as discrete-joint ball-bearing supported Bowden cables. Our rolling-plus-twist joint design decouples pairs of routed cables from changing significantly in tension, length, or friction during large angle motion of the linked transmission. Using sub-1 mm diameter high-strength synthetic cable, the transmission exhibits a maximum coupling motion of only 0.15 mm over the full range of motion of the cable-transmission mechanism, approximately 10% of pretension in combined hysteresis and friction, a transmission stiffness of 10 N/mm, weighing just 9 g per rolling joint and 5 g per twist joint. Two applications are demonstrated: cable routing alongside a robot arm for, say, gripper remote actuation, and remote needle advancement for an MRI-safe needle biopsy robot.
Ryo Takei, Samuel Frishman, John Peter Whitney
ICRA1
2012 Time-optimal multi-stage motion planning with guaranteed collision avoidance via an open-loop game formulation
abstract
We present an efficient algorithm which computes, for a kinematic point mass moving in the plane, a time-optimal path that visits a sequence of target sets while conservatively avoiding collision with moving obstacles, also modelled as kinematic point masses, but whose trajectories are unknown. The problem is formulated as a pursuit-evasion differential game, and the underlying construction is based on optimal control. The algorithm, which is a variant of the fast marching method for shortest path problems, can handle general dynamical constraints on the players and arbitrary domain geometry (e.g. obstacles, non-polygonal boundaries). Applications to a two-stage game, capture-the-flag, is presented.
Ryo Takei, Haomiao Huang, Jerry Ding, Claire J. Tomlin
ICRA1