activity
20232026
most citedDROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

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

collaborators

8 papers

cs.RO2026

TAPESIM: Efficient Simulation of Adhesive Tape Dispensing for Robotic Manipulation

Zhaofeng Luo, Xinyu Lu, Jaehoon Choi +11

Applying adhesive tape to secure wire harnesses or seal packages requires robots to coordinate a flexible strip, a moving roll, and surfaces that attach and detach. Simulation coul…

cs.RO2026

Tactile Genesis: Exploring Tactile Sensors at Scale for Learning Dexterous Tasks

Trinity Chung, Kashu Yamazaki, Dhruv Patel +4

Tactile sensing is critical for contact-rich dexterous manipulation, yet it remains unclear which tactile abstractions a policy needs and when richer tactile fields justify their h…

q-bio.NC2025

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain

Trinity Chung, Yuchen Shen, Nathan C. L. Kong +1

Tactile sensing remains far less understood in neuroscience and less effective in artificial systems compared to more mature modalities such as vision and language. We bridge these…

cs.RO2025

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger +7

Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…

cs.RO2024

FogROS2-FT: Fault Tolerant Cloud Robotics

Kaiyuan Chen, Kush Hari, Trinity Chung +8

Cloud robotics enables robots to offload complex computational tasks to cloud servers for performance and ease of management. However, cloud compute can be costly, cloud services c…

cs.CR2024

The Medium is the Message: How Secure Messaging Apps Leak Sensitive Data to Push Notification Services

Nikita Samarin, Alex Sanchez, Trinity Chung +5

Like most modern software, secure messaging apps rely on third-party components to implement important app functionality. Although this practice reduces engineering costs, it also…

cs.RO2024★ 3 cited

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Alexander Khazatsky, Karl Pertsch, Suraj Nair +98

The creation of large, diverse, high-quality robot manipulation datasets is an important stepping stone on the path toward more capable and robust robotic manipulation policies. Ho…

cs.RO2023

FogROS2-Config: Optimizing Latency and Cost for Multi-Cloud Robot Applications

Kaiyuan Chen, Kush Hari, Rohil Khare +6

Cloud service providers provide over 50,000 distinct and dynamically changing set of cloud server options. To help roboticists make cost-effective decisions, we present FogROS2-Con…