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

Frank Sebastianelli

dblp:364/4127 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0003-2059-1688ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 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
Legged, aerial and field robots · 50% Robot manipulation · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › mobile robot locomotion
modular robot locomotion
0.912025
SOF-E: An Energy Efficient Robot for Collaborative Transport and Placement of Mechanical Meta-Material Modules · ICRA 2025

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

cost of transport analysis · 0.9
YearPublicationVenuePosition
2025 SOF-E: An Energy Efficient Robot for Collaborative Transport and Placement of Mechanical Meta-Material Modules
abstract
In-space assembly is a key capability to enable construction of large-scale structures required for sustained human presence in space. Robotic assembly is critical to reduce required crew time and risk, while modularity ensures that solutions are versatile and adaptive to complex mission concepts. NASA's Automated Reconfigurable Mission Adaptive Digital Assembly Systems (ARMADAS) project demonstrated that robots with relatively low cost, size, and degrees-of-freedom (DoFs) can be used for large-scale modular lattice structure assembly. This is possible by using the structural modules for robotic systems metrology and error mitigation. Robots with reduced complexity may lead to advantages in initial and maintenance cost, offering an alternative to large, complex, and expensive robots. In this paper, we describe the Structure Omni-directional Foldable Explorer (SOF-E), a robot with significantly lower mass and DoF compared to the previous ARMADAS robot architecture. Although SOF-E is a five DoF robot with only two or three control states per actuator, it is capable of transporting and placing structural modules by collaborating with other instances of itself. We discuss the mechanical design and architecture of SOF-E, including analysis of energy usage during each operation. Experiments demonstrate that during locomotion and module transport tasks, SOF-E requires significantly lower energy than the previous cargo transport robot architecture, the Scaling Omni-directional Lattice Locomoting Explorer (SOLL-E). The cost of transport metric is used to compare the energy efficiency of the operation.
Inchul Moon, Frank Sebastianelli, Christine Gregg, Kenneth C. Cheung
ICRA2
2023 SOLL-E: A Module Transport and Placement Robot for Autonomous Assembly of Discrete Lattice Structures
abstract
This paper presents the design and development of a transport and placement robot that demonstrates autonomous assembly of structural building blocks. The robots are intended to serve as a critical component of automated structural assembly and maintenance systems. The Scaling Omni-directional Lattice Locomoting Explorer (SOLL-E) uses a 5-DoF bipedal inchworm locomotion architecture with locking foot and cargo grippers. The locomotion system employs large magnet gap diameter BLDC motors with moderate timing belt gearing for primary joints, and DC planetary gearmotors for turning. Foot and cargo grippers are identical, with servo-actuated locking mechanisms. Three modular controller boards are used to control these actuators in real-time, with command and telemetry data transferred between the server and each controller board via WiFi. Functionality and performance were evaluated in a ground demonstration.
In-Won Park, Damiana Catanoso, Olivia Formoso, Christine Gregg, Megan Ochalek, Taiwo Olatunde, Frank Sebastianelli, Pascal Spino, Elizabeth Taylor, Greenfield Trinh, Kenneth C. Cheung
IROS7