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Adam Norton

5 accepted papers

2026

A Benchmarking Study of Vision-Based Robotic Grasping Algorithms

Bharath Kumar Ramesh Babu, Sumukh Sreenivasarao Balakrishna, Brian Flynn, Vinayak Kapoor, Adam Norton, Holly Yanco +1
ICRA 2026poster

We present a benchmarking study of vision-based robotic grasping algorithms with distinct approaches, and pro- vide a comparative analysis. In particular, we compare two machine-learning-based and two analytical algorithms using an existing benchmarking protocol from the literature and deter- mine t…

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2022

Household Cloth Object Set: Fostering Benchmarking in Deformable Object Manipulation

Irene Garcia-Camacho, Júlia Borràs Sol, Berk Çalli, Adam Norton, Guillem Alenyà
RA-L 2022

Benchmarking of robotic manipulations is one of the open issues in robotic research. An important factor that has enabled progress in this area in the last decade is the existence of common object sets that have been shared among different research groups. However, the existing object sets are very

Cited by 29Source ↗Scholar ↗
2021

Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks

Wenzhao Lian, Tim Kelch, Dirk Holz, Adam Norton, Stefan Schaal
IROS 2021poster

In recent years, many learning based approaches have been studied to realize robotic manipulation and assembly tasks, often including vision and force/tactile feedback. How-ever, it is unclear what the baseline state-of-the-art performance is and what the bottleneck problems are. In this work, we ev…

Cited by 28Source ↗Scholar ↗
2021

Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management

Zhao Han, Adam Norton, Eric McCann, Lisa Baraniecki, Will Ober, Dave Shane +2
ICRA 2021poster

Robot interfaces often only use the visual channel. Inspired by Wickens’ Multiple Resource Theory, we investigated if the addition of audio elements would reduce cognitive workload and improve performance. Specifically, we designed a search and threat-defusal task (primary) with a memory test task (…

Cited by 5Source ↗Scholar ↗
2020

Benchmarking Protocols for Evaluating Grasp Strength, Grasp Cycle Time, Finger Strength, and Finger Repeatability of Robot End-Effectors

Joe Falco, Daniel Hemphill, Kenny Kimble, Elena Messina, Adam Norton, Rafael Ropelato +1
RA-L 2020

This paper describes a set of metrics and supporting benchmarking protocols for determining the performance characteristics of robot end-effectors. In the short-term, these tools are proving useful as a common ground for assessing and comparing end-effectors. The long-term goal is a standard framewo

Cited by 23Source ↗Scholar ↗