b'Peter Corke'

research

∙ 09/17/2023

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

We present a reactive base control method that enables high performance ...

0 Ben Burgess-Limerick, et al. ∙

research

∙ 08/01/2023

Understanding URDF: A Dataset and Analysis

As the complexity of robot systems increases, it becomes more effective ...

0 Daniella Tola, et al. ∙

research

∙ 07/28/2023

Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review

Robotic vision for human-robot interaction and collaboration is a critic...

0 Nicole Robinson, et al. ∙

research

∙ 05/15/2023

Enabling Failure Recovery for On-The-Move Mobile Manipulation

We present a robot base placement and control method that enables a mobi...

0 Ben Burgess-Limerick, et al. ∙

research

∙ 03/29/2023

The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems

Vision is a popular and effective sensor for robotics from which we can ...

0 Adam K. Taras, et al. ∙

research

∙ 03/12/2023

Re-evaluating Parallel Finger-tip Tactile Sensing for Inferring Object Adjectives: An Empirical Study

Finger-tip tactile sensors are increasingly used for robotic sensing to ...

0 Fangyi Zhang, et al. ∙

research

∙ 02/26/2023

Understanding URDF: A Survey Based on User Experience

With the increasing complexity of robot systems, it is necessary to simu...

0 Daniella Tola, et al. ∙

research

∙ 12/14/2022

An Architecture for Reactive Mobile Manipulation On-The-Move

We present a generalised architecture for reactive mobile manipulation w...

0 Ben Burgess-Limerick, et al. ∙

research

∙ 11/05/2022

Learning Fabric Manipulation in the Real World with Human Videos

Fabric manipulation is a long-standing challenge in robotics due to the ...

9 Robert Lee, et al. ∙

research

∙ 07/05/2022

Manipulator Differential Kinematics Part I: Kinematics, Velocity, and Applications

Manipulator kinematics is concerned with the motion of each link within ...

0 Jesse Haviland, et al. ∙

research

∙ 07/05/2022

Manipulator Differential Kinematics Part II: Acceleration and Advanced Applications

This is the second and final article on the tutorial on manipulator diff...

0 Jesse Haviland, et al. ∙

research

∙ 04/29/2022

Eyes on the Prize: Improved Perception for Robust Dynamic Grasping

This paper is concerned with perception challenges for robust grasping i...

0 Ben Burgess-Limerick, et al. ∙

research

∙ 02/25/2022

Visibility Maximization Controller for Robotic Manipulation

Occlusions caused by a robot's own body is a common problem for closed-l...

0 Kerry He, et al. ∙

research

∙ 09/10/2021

A Holistic Approach to Reactive Mobile Manipulation

We present the design and implementation of a taskable reactive mobile m...

0 Jesse Haviland, et al. ∙

research

∙ 08/19/2021

FSNet: A Failure Detection Framework for Semantic Segmentation

Semantic segmentation is an important task that helps autonomous vehicle...

8 Quazi Marufur Rahman, et al. ∙

research

∙ 04/15/2021

Tabletop Object Rearrangement: Team ACRV's Entry to OCRTOC

Open Cloud Robot Table Organization Challenge (OCRTOC) is one of the mos...

0 Zheyu Zhang, et al. ∙

research

∙ 03/29/2021

Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion

Curved refractive objects are common in the human environment, and have ...

0 Dorian Tsai, et al. ∙

research

∙ 01/05/2021

Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends

As deep learning continues to dominate all state-of-the-art computer vis...

0 Quazi Marufur Rahman, et al. ∙

research

∙ 01/02/2021

Semantics for Robotic Mapping, Perception and Interaction: A Survey

For robots to navigate and interact more richly with the world around th...

0 Sourav Garg, et al. ∙

research

∙ 10/17/2020

A Systematic Approach to Computing the Manipulator Jacobian and Hessian using the Elementary Transform Sequence

The elementary transform sequence (ETS) provides a universal method of d...

0 Jesse Haviland, et al. ∙

research

∙ 10/17/2020

NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators

We present NEO, a fast and purely reactive motion controller for manipul...

0 Jesse Haviland, et al. ∙

research

∙ 10/07/2020

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience

Manipulating deformable objects, such as fabric, is a long standing prob...

0 Robert Lee, et al. ∙

research

∙ 06/02/2020

Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision

We present an approach for safe and object-independent human-to-robot ha...

0 Patrick Rosenberger, et al. ∙

research

∙ 03/03/2020

EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation

We present the Evolved Grasping Analysis Dataset (EGAD), comprising over...

0 Douglas Morrison, et al. ∙

research

∙ 02/27/2020

Maximising Manipulability During Resolved-Rate Motion Control

Resolved-rate motion control of redundant serial-link manipulators is co...

0 Jesse Haviland, et al. ∙

research

∙ 01/31/2020

Robot Navigation in Unseen Spaces using an Abstract Map

Human navigation in built environments depends on symbolic spatial infor...

6 Ben Talbot, et al. ∙

research

∙ 01/30/2020

Model-free vision-based shaping of deformable plastic materials

We address the problem of shaping deformable plastic materials using non...

0 Andrea Cherubini, et al. ∙

research

∙ 01/16/2020

Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing

In this paper we consider the problem of the final approach stage of clo...

6 Jesse Haviland, et al. ∙

research

∙ 01/08/2020

What can robotics research learn from computer vision research?

The computer vision and robotics research communities are each strong. H...

50 Peter Corke, et al. ∙

research

∙ 11/27/2018

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation

We propose a new visual object detector evaluation measure which not onl...

0 David Hall, et al. ∙

research

∙ 09/23/2018

Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter

Camera viewpoint selection is an important aspect of visual grasp detect...

0 Douglas Morrison, et al. ∙

research

∙ 05/31/2018

Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion

Robots must reliably interact with refractive objects in many applicatio...

0 Dorian Tsai, et al. ∙

research

∙ 04/18/2018

The Limits and Potentials of Deep Learning for Robotics

The application of deep learning in robotics leads to very specific prob...

0 Niko Sünderhauf, et al. ∙

research

∙ 04/14/2018

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

This paper presents a real-time, object-independent grasp synthesis meth...

0 Douglas Morrison, et al. ∙

research

∙ 04/06/2018

Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles

This paper presents the design and implementation of an assisted control...

0 Aaron McFadyen, et al. ∙

research

∙ 09/18/2017

Sim-to-real Transfer of Visuo-motor Policies for Reaching in Clutter: Domain Randomization and Adaptation with Modular Networks

A modular method is proposed to learn and transfer visuo-motor policies ...

0 Fangyi Zhang, et al. ∙

research

∙ 05/24/2017

Visual Servoing from Deep Neural Networks

We present a deep neural network-based method to perform high-precision,...

0 Quentin Bateux, et al. ∙

research

∙ 03/21/2017

Episode-Based Active Learning with Bayesian Neural Networks

We investigate different strategies for active learning with Bayesian de...

0 Feras Dayoub, et al. ∙

research

∙ 12/16/2016

Mirrored Light Field Video Camera Adapter

This paper proposes the design of a custom mirror-based light field came...

0 Dorian Tsai, et al. ∙

research

∙ 10/21/2016

Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies

While deep learning has had significant successes in computer vision tha...

0 Fangyi Zhang, et al. ∙

research

∙ 09/17/2016

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research

Robotic challenges like the Amazon Picking Challenge (APC) or the DARPA ...

0 Jürgen Leitner, et al. ∙

research

∙ 08/01/2016

Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification

Fine-grained classification is a relatively new field that has concentra...

0 ZongYuan Ge, et al. ∙

research

∙ 11/30/2015

Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks

We present a novel deep convolutional neural network (DCNN) system for f...

0 ZongYuan Ge, et al. ∙

research

∙ 11/12/2015

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

This paper introduces a machine learning based system for controlling a ...

0 Fangyi Zhang, et al. ∙

research

∙ 05/09/2015

Subset Feature Learning for Fine-Grained Category Classification

Fine-grained categorisation has been a challenging problem due to small ...

0 ZongYuan Ge, et al. ∙

research

∙ 02/27/2015

Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification

We propose a local modelling approach using deep convolutional neural ne...

0 ZongYuan Ge, et al. ∙

Peter Corke

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