activity
20212026
most citedOpen X-Embodiment: Robotic Learning Datasets and RT-X Models

103 citations · 105 across the 12 of their papers we have counts for

collaborators

14 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

OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning

Guanhua Ji, Harsha Polavaram, Lawrence Yunliang Chen +5

Large and diverse datasets are needed for training generalist robot policies that have potential to control a variety of robot embodiments -- robot arm and gripper combinations --…

cs.RO2025

Botany-Bot: Digital Twin Monitoring of Occluded and Underleaf Plant Structures with Gaussian Splats

Simeon Adebola, Chung Min Kim, Justin Kerr +5

Commercial plant phenotyping systems using fixed cameras cannot perceive many plant details due to leaf occlusion. In this paper, we present Botany-Bot, a system for building detai…

cs.RO2025

GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splats

Simeon Adebola, Shuangyu Xie, Chung Min Kim +9

Accurate temporal reconstructions of plant growth are essential for plant phenotyping and breeding, yet remain challenging due to complex geometries, occlusions, and non-rigid defo…

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Charles Xu, Qiyang Li, Jianlan Luo +1

Recent advances in robotic foundation models have enabled the development of generalist policies that can adapt to diverse tasks. While these models show impressive flexibility, th…

cs.RO2024

Automating Deformable Gasket Assembly

Simeon Adebola, Tara Sadjadpour, Karim El-Refai +8

In Gasket Assembly, a deformable gasket must be aligned and pressed into a narrow channel. This task is common for sealing surfaces in the manufacturing of automobiles, appliances,…

cs.RO2023★ 103 cited

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…

cs.RO2023

Can Machines Garden? Systematically Comparing the AlphaGarden vs. Professional Horticulturalists

Simeon Adebola, Rishi Parikh, Mark Presten +8

The AlphaGarden is an automated testbed for indoor polyculture farming which combines a first-order plant simulator, a gantry robot, a seed planting algorithm, plant phenotyping an…

cs.RO2023

FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity

Kaiyuan Chen, Ryan Hoque, Karthik Dharmarajan +5

The Robot Operating System (ROS2) is the most widely used software platform for building robotics applications. FogROS2 extends ROS2 to allow robots to access cloud computing on de…

cs.LG2022★ 1 cited

DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning

Simeon Adebola, Satvik Sharma, Kaushik Shivakumar

Deep ensembles have been shown to extend the positive effect seen in typical ensemble learning to neural networks and to reinforcement learning (RL). However, there is still much t…

cs.RO2022

Automated Pruning of Polyculture Plants

Mark Presten, Rishi Parikh, Shrey Aeron +6

Polyculture farming has environmental advantages but requires substantially more pruning than monoculture farming. We present novel hardware and algorithms for automated pruning. U…

cs.RO2022★ 1 cited

FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2

Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan +12

Mobility, power, and price points often dictate that robots do not have sufficient computing power on board to run contemporary robot algorithms at desired rates. Cloud computing p…

cs.RO2021

AlphaGarden: Learning to Autonomously Tend a Polyculture Garden

Mark Presten, Yahav Avigal, Mark Theis +9

This paper presents AlphaGarden: an autonomous polyculture garden that prunes and irrigates living plants in a 1.5m x 3.0m physical testbed. AlphaGarden uses an overhead camera and…