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Chris Manzie

7 accepted papers

2022

Probabilistic Data Association for Semantic SLAM at Scale

IROS 2022poster

With advances in image processing and machine learning, it is now feasible to incorporate semantic information into the problem of simultaneous localisation and mapping (SLAM). Previously, SLAM was carried out using lower level geometric features (points, lines, and planes) which are often view-poin…

Cited by 14SourcecodeScholar
2021

Exploiting Inherent Human Motor Behaviour in the Online Personalisation of Human-Prosthetic Interfaces

RA-L 2021

Human-prosthetic interfaces require their settings to be tuned to individual users. This can potentially be done autonomously while the prosthesis user performs a task by using online personalisation algorithms. These online personalisation algorithms adjust the interface parameters to optimise a gi

Cited by 9SourceScholar
2020

Collision Avoidance Based on Robust Lexicographic Task Assignment

RA-L 2020

Traditional task assignment approaches for multi-agent motion control do not take the possibility of collisions into account. This can lead to challenging requirements for path planning. We derive an assignment method that not only minimises the largest distance between an agent and its assigned des

Cited by 11SourceScholar
2020

Technical Note for "Tactile-Based Blind Grasping: A Discrete-Time Object Manipulation Controller for Robotic Hands"

RA-L 2020

The manuscript “Tactile-based Blind Grasping: A Discrete-Time Object Manipulation Controller for Robotic Hands” contains results that are dependent on two references. Since publication, we realized that one of these references has inconsistent results regarding continuity of quadratic programs. The

Cited by 3SourceScholar
2018

Tactile-Based Blind Grasping: A Discrete-Time Object Manipulation Controller for Robotic Hands

RA-L 2018

Robust object manipulation using a robotic hand remains a challenging task, especially when a priori knowledge of the object being manipulated is not available. Tactile-based blind grasping is hereby defined where only typical sensors on-board the robotic hand unit are available. In this letter, we

Cited by 25SourceScholar
2016

Towards dynamic object manipulation with tactile sensing for prosthetic hands

IROS 2016poster

The manipulation of objects is an inherent capability of dexterous human hands. However, state-of-the-art prostheses are limited to only forming grasps and gestures due to the low information transfer rate in the human-machine interface. Additionally, in the prosthetic setting the hand is not privy…

Cited by 8SourceScholar