activity
20222026
most citedFogROS2-PLR: Probabilistic Latency-Reliability For Cloud Robotics

1 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

cs.RO2026

RoboVista: Evaluating Vision Language Models for Diverse Robot Applications

Shuangyu Xie, Kaiyuan Chen, Ziyang Chen +8

Diverse applications for robotics, such as industry and agriculture, require robots to operate across various embodiments, changing visual conditions, and complex planning. Vision-…

cs.RO2025

Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging

Tianshuang Qiu, Zehan Ma, Karim El-Refai +4

3D Gaussian Splats (3DGSs) are 3D object models derived from multi-view images. Such "digital twins" are useful for simulations, virtual reality, marketing, robot policy fine-tunin…

cs.RO2024

Breathless: An 8-hour Performance Contrasting Human and Robot Expressiveness

Catie Cuan, Tianshuang Qiu, Shreya Ganti +1

This paper describes the robot technology behind an original performance that pairs a human dancer (Cuan) with an industrial robot arm for an eight-hour dance that unfolds over the…

cs.RO2024

BOMP: Bin-Optimized Motion Planning

Zachary Tam, Karthik Dharmarajan, Tianshuang Qiu +3

In logistics, the ability to quickly compute and execute pick-and-place motions from bins is critical to increasing productivity. We present Bin-Optimized Motion Planning (BOMP), a…

cs.RO2024★ 1 cited

FogROS2-PLR: Probabilistic Latency-Reliability For Cloud Robotics

Kaiyuan Chen, Nan Tian, Christian Juette +4

Cloud robotics enables robots to offload computationally intensive tasks to cloud servers for performance, cost, and ease of management. However, the network and cloud computing in…

cs.RO2024

Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset

Andrew Goldberg, Kavish Kondap, Tianshuang Qiu +7

Generative AI systems have shown impressive capabilities in creating text, code, and images. Inspired by the rich history of research in industrial ''Design for Assembly'', we intr…