most citedText2Robot: Evolutionary Robot Design from Text Descriptions

1 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

The Cartesian Hand: In-Hand Manipulation with All-Linear Fingers

Boxi Xia, Bokuan Li, Ryan Shin +3

Robotic manipulation has increasingly pursued human-like dexterous hands with many articulated degrees of freedom, offering rich manipulation capabilities at the cost of mechanical…

cs.RO2026

Visible-Reachable Workspace for Perception-Aware Humanoid Design

Boxi Xia, Zijiang Yang, Ryan Shin +5

Workspace analysis measures where a robot can place its end effector. For visually guided manipulation, reachability alone is insufficient: a kinematically reachable target may not…

cs.RO2026

Robot Learning to Communicate through Projected Visual Abstractions

Danyang Yan, Boyuan Wang, Jiaxun Liu +1

Humans routinely communicate through abstractions of their bodies, including shadows, silhouettes, and reflections. Yet robots remain largely confined to expressing themselves thro…

cs.RO2026

RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning

Dong Heon Cho, Boyuan Chen

Differentiable simulators enable gradient-based optimization of soft robots over material parameters, control, and morphology, but accurately modeling real systems remains challeng…

cs.RO2024★ 1 cited

The Duke Humanoid: Design and Control For Energy Efficient Bipedal Locomotion Using Passive Dynamics

Boxi Xia, Bokuan Li, Jacob Lee +2

We present the Duke Humanoid, an open-source 10-degrees-of-freedom humanoid, as an extensible platform for locomotion research. The design mimics human physiology, with symmetrical…

cs.RO2024★ 1 cited

Text2Robot: Evolutionary Robot Design from Text Descriptions

Ryan P. Ringel, Zachary S. Charlick, Jiaxun Liu +2

Robot design has traditionally been costly and labor-intensive. Despite advancements in automated processes, it remains challenging to navigate a vast design space while producing…

cs.RO2024★ 1 cited

SonicSense: Object Perception from In-Hand Acoustic Vibration

Jiaxun Liu, Boyuan Chen

We introduce SonicSense, a holistic design of hardware and software to enable rich robot object perception through in-hand acoustic vibration sensing. While previous studies have s…