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Leon Cheng

dblp:264/7233 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2Artificial 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.

Human-computer interaction and pervasive computing
2 papers
Personal fabrication and tangible interfaces · 100%
Artificial intelligence
1 paper
Robot manipulation · 77% Motion planning and robot control · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › modular robot
self-reconfigurable robots
0.612022
ElectroVoxel: Electromagnetically Actuated Pivoting for Scalable Modular Self-Reconfigurable Robots · ICRA 2022
Robotics › Motion planning and robot control › motion planning › multi-robot planning
reconfiguration planning
0.212022
ElectroVoxel: Electromagnetically Actuated Pivoting for Scalable Modular Self-Reconfigurable Robots · ICRA 2022
Personal fabrication and tangible interfaces › digital fabrication
3d printing
0.112020
G-ID: Identifying 3D Prints Using Slicing Parameters · CHI 2020
Electronic design automation › physical design › VLSI layout
printed wiring board layout
0.112020
MorphSensor: A 3D Electronic Design Tool for Reforming Sensor Modules · UIST 2020

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

customized PCB footprints · 0.93d morphing · 0.9microgravity experimentation · 0.6electromagnetic actuation · 0.6slicing parameter variation · 0.4machine-readable pattern encoding · 0.4
YearPublicationVenuePosition
2022 ElectroVoxel: Electromagnetically Actuated Pivoting for Scalable Modular Self-Reconfigurable Robots
abstract
This paper introduces a cube-based reconfigurable robot that utilizes an electromagnet-based actuation framework to reconfigure in three dimensions via pivoting. While a variety of actuation mechanisms for self-reconfigurable robots have been explored, they often suffer from cost, complexity, assembly and sizing requirements that prevent scaled production of such robots. To address this challenge, we use an actuation mechanism based on electromagnets embedded into the edges of each cube to interchangeably create identically or oppositely polarized electromagnet pairs, resulting in repulsive or attractive forces, respectively. By leveraging attraction for hinge formation, and repulsion to drive pivoting maneuvers, we can reconfigure the robot by voxelizing it and actuating its constituent modules-termed Electrovoxels-via electromagnetically actuated pivoting. To demonstrate this, we develop fully untethered, three-dimensional self-reconfigurable robots and demonstrate 2D and 3D self-reconfiguration using pivot and traversal maneuvers on an air-table and in microgravity on a parabolic flight. This paper describes the hardware design of our robots, its pivoting framework, our reconfiguration planning software, and an evaluation of the dynamical and electrical characteristics of our system to inform the design of scalable self-reconfigurable robots.
Martin Nisser, Leon Cheng, Yashaswini Makaram, Ryo Suzuki 0001, Stefanie Mueller 0001
ICRA2
2020 G-ID: Identifying 3D Prints Using Slicing Parameters
abstract
We present G-ID, a method that utilizes the subtle patterns left by the 3D printing process to distinguish and identify objects that otherwise look similar to the human eye. The key idea is to mark different instances of a 3D model by varying slicing parameters that do not change the model geometry but can be detected as machine-readable differences in the print. As a result, G-ID does not add anything to the object but exploits the patterns appearing as a by-product of slicing, an essential step of the 3D printing pipeline.
Mustafa Doga Dogan, Faraz Faruqi, Andrew Day Churchill, Kenneth Friedman, Leon Cheng, Sriram Subramanian, Stefanie Mueller 0001
CHI5
2020 MorphSensor: A 3D Electronic Design Tool for Reforming Sensor Modules
abstract
MorphSensor is a 3D electronic design tool that enables designers to morph existing sensor modules of pre-defined two-dimensional shape into free-form electronic component arrangements that better integrate with the three-dimensional shape of a physical prototype. MorphSensor builds onto existing sensor module schematics that already define the electronic components and the wiring required to build the sensor. Since MorphSensor maintains the wire connections throughout the editing process, the sensor remains fully functional even when designers change the electronic component layout on the prototype geometry. We detail the MorphSensor editor that supports designers in re-arranging the electronic components, and discuss a fabrication pipeline based on customized PCB footprints for making the resulting freeform sensor. We then demonstrate the capabilities of our system by morphing a range of sensor modules of different complexity and provide a technical evaluation of the quality of the resulting free-form sensors.
Junyi Zhu 0001, Yunyi Zhu, Jiaming Cui, Leon Cheng, Jackson C. Snowden, Mark Chounlakone, Michael Wessely, Stefanie Mueller 0001
UIST4