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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

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6 papers · 1 filter

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…

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.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…