Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Sebastian Wicke

dblp:359/8696 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot design › manipulator design
end-effector design
0.812024
HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in Industrial Settings · ICRA 2024
Robotics › Robot manipulation
grasping
0.812024
HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in Industrial Settings · ICRA 2024
Robotics › Robot manipulation › dexterous manipulation
in-hand manipulation
0.812024
HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in Industrial Settings · ICRA 2024
Robotics › Robot manipulation › force sensing
force/torque sensing
0.212024
HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in Industrial Settings · ICRA 2024

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

kinematic modeling · 0.8chopstick-like actuation · 0.8
YearPublicationVenuePosition
2024 HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in Industrial Settings
abstract
The seafood processing industry provides fertile ground for robotics to impact the future-of-work from multiple perspectives including productivity, worker safety, and quality of work life. The robotics research challenge in this domain is the realization of flexible and reliable manipulation of soft, deformable, slippery, spiky and scaly objects. In this paper, we propose a novel robot end effector, called HASHI, that employs chopstick-like appendages for precise and dexterous manipulation. This gripper is capable of in-hand manipulation by rotating its two constituent sticks relative to each other and offers control of objects in all three axes of rotation by imitating human use of chopsticks. HASHI delicately positions and orients food through embedded 6-axis force-torque sensors. We derive and validate the kinematic model for HASHI, as well as demonstrate grip force and torque readings from the sensorization of each chopstick. We also evaluate the versatility of HASHI through grasping trials of a variety of real and simulated food items with varying geometry, weight, and firmness.
Austin Allison, Nathaniel Hanson, Sebastian Wicke, Taskin Padir
ICRA3