activity
20222024
most citedHefty: A Modular Reconfigurable Robot for Advancing Robot Manipulation in Agriculture

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024

Leveraging Simulation-Based Model Preconditions for Fast Action Parameter Optimization with Multiple Models

M. Yunus Seker, Oliver Kroemer

Optimizing robotic action parameters is a significant challenge for manipulation tasks that demand high levels of precision and generalization. Using a model-based approach, the ro…

cs.RO20242 cited

Hefty: A Modular Reconfigurable Robot for Advancing Robot Manipulation in Agriculture

Dominic Guri, Moonyoung Lee, Oliver Kroemer +1

This paper presents a modular, reconfigurable robot platform for robot manipulation in agriculture. While robot manipulation promises great advancements in automating challenging,…

cs.RO2024

MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models

Saumya Saxena, Mohit Sharma, Oliver Kroemer

Leveraging sensing modalities across diverse spatial and temporal resolutions can improve performance of robotic manipulation tasks. Multi-spatial resolution sensing provides hiera…

cs.RO2023

Towards Robotic Tree Manipulation: Leveraging Graph Representations

Chung Hee Kim, Moonyoung Lee, Oliver Kroemer +1

There is growing interest in automating agricultural tasks that require intricate and precise interaction with specialty crops, such as trees and vines. However, developing robotic…

cs.RO2023

Towards Autonomous Crop Monitoring: Inserting Sensors in Cluttered Environments

Moonyoung Lee, Aaron Berger, Dominic Guri +4

We present a contact-based phenotyping robot platform that can autonomously insert nitrate sensors into cornstalks to proactively monitor macronutrient levels in crops. This task i…

cs.RO2023

Estimating Material Properties of Interacting Objects Using Sum-GP-UCB

M. Yunus Seker, Oliver Kroemer

Robots need to estimate the material and dynamic properties of objects from observations in order to simulate them accurately. We present a Bayesian optimization approach to identi…