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Chris Lehnert

7 accepted papers

2025

Evaluation and Analysis of Precision Leaf Pruning End-Effectors Within Dense Foliage Agriculture

IROS 2025

Physical interaction tasks within dense foliage such as leaf pruning and fruit harvesting are current challenges for agricultural robotics. This is due to the cluttered and unstructured environment these tasks are conducted within, complex stem structures providing a number of obstacles that obscure

Cited by 0SourceScholar
2024

Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion

RA-L 2024

The world population is increasing and will, by 2050, nearly double its demand for food, feed, fuel, and fiber. Besides environmental challenges, labor shortage also poses crucial challenges to the agricultural production system. Automation of manual tasks in crop production can potentially increase

Cited by 21SourceScholar
2024

Reactive Base Control for On-the-Move Mobile Manipulation in Dynamic Environments

RA-L 2024

We present a reactive base control method that enables high performance mobile manipulation on-the-move in real-world environments with static and dynamic obstacles. Performing manipulation tasks while the mobile base remains in motion can significantly decrease the time required to perform multi-st

Cited by 24SourceScholar
2023

An Architecture for Reactive Mobile Manipulation On-The-Move

ICRA 2023poster

We present a generalised architecture for reactive mobile manipulation while a robot's base is in motion toward the next objective in a high-level task. By performing tasks on-the-move, overall cycle time is reduced compared to methods where the base pauses during manipulation. Reactive control of t…

Cited by 25SourcecodeScholar
2023

Robotic Crop Handling in Cluttered and Unstructured Environments using Simulated L-System Dynamic Plant Models

IROS 2023poster

This paper presents the development of a simulation for dynamic plant models, generated from L-system functional models. A key application of these dynamic plant models is to aid in developing new methods for robotic manipulation of plants that minimize damage due to physical interaction. We present…

Cited by 1SourceScholar
2022

DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping

IROS 2022poster

This paper introduces DGBench, a fully reproducible open-source testing system to enable benchmarking of dynamic grasping in environments with unpredictable relative motion between robot and object. We use the proposed benchmark to compare several visual perception arrangements. Traditional percepti…

Cited by 11SourceScholar
2019

3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments

IROS 2019poster

In this paper we present a novel approach termed 3D Move to See (3DMTS) which is based on the principle of finding the next best view using a 3D camera array and a robotic manipulator to obtain multiple samples of the scene from different perspectives. Distinct from traditional visual servoing and n…

Cited by 47SourceScholar