activity
20172025
most citedDesign of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge

17 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Fast Functionally Redundant Inverse Kinematics for Robotic Toolpath Optimisation in Manufacturing Tasks

Andrew Razjigaev, Hans Lohr, Alejandro Vargas-Uscategui +2

Industrial automation with six-axis robotic arms is critical for many manufacturing tasks, including welding and additive manufacturing applications; however, many of these operati…

cs.RO2019★ 3 cited

Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm

Andrew Razjigaev, Ajay K. Pandey, Jonathan Roberts +1

Tendon-driven snake-like arms have been used to create highly dexterous continuum robots so that they can bend around anatomical obstacles to access clinical targets. In this paper…

cs.RO2017★ 17 cited

Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge

S. Wade-McCue, N. Kelly-Boxall, M. McTaggart +19

We present the grasping system and design approach behind Cartman, the winning entrant in the 2017 Amazon Robotics Challenge. We investigate the design processes leading up to the…

cs.RO2017★ 5 cited

Semantic Segmentation from Limited Training Data

A. Milan, T. Pham, K. Vijay +22

We present our approach for robotic perception in cluttered scenes that led to winning the recent Amazon Robotics Challenge (ARC) 2017. Next to small objects with shiny and transpa…

cs.RO2017★ 15 cited

Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge

D. Morrison, A. W. Tow, M. McTaggart +19

The Amazon Robotics Challenge enlisted sixteen teams to each design a pick-and-place robot for autonomous warehousing, addressing development in robotic vision and manipulation. Th…