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‎README.md

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@@ -276,58 +276,6 @@ The [`notebooks`](https://github.com/petercorke/robotics-toolbox-python/tree/mas
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## Toolbox Research Applications
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The toolbox is incredibly useful for developing and prototyping algorithms for research, thanks to the exhaustive set of well documented and mature robotic functions exposed through clean and painless APIs. Additionally, the ease at which a user can visualize their algorithm supports a rapid prototyping paradigm.
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### Publication List
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J. Haviland, N. Sünderhauf and P. Corke, "**A Holistic Approach to Reactive Mobile Manipulation**," in _IEEE Robotics and Automation Letters_, doi: 10.1109/LRA.2022.3146554. In the video, the robot is controlled using the Robotics toolbox for Python and features a recording from the [Swift](https://github.com/jhavl/swift) Simulator.
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[[Arxiv Paper](https://arxiv.org/abs/2109.04749)] [[IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/9695298)] [[Project Website](https://jhavl.github.io/holistic/)] [[Video](https://youtu.be/-DXBQPeLIV4)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/holistic_mm_non_holonomic.py)]
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<p>
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<a href="https://youtu.be/-DXBQPeLIV4">
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<img src="https://github.com/petercorke/robotics-toolbox-python/raw/master/docs/figs/holistic_youtube.png" width="560">
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J. Haviland and P. Corke, "**NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators**," in _IEEE Robotics and Automation Letters_, doi: 10.1109/LRA.2021.3056060. In the video, the robot is controlled using the Robotics toolbox for Python and features a recording from the [Swift](https://github.com/jhavl/swift) Simulator.
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[[Arxiv Paper](https://arxiv.org/abs/2010.08686)] [[IEEE Xplore](https://ieeexplore.ieee.org/document/9343718)] [[Project Website](https://jhavl.github.io/neo/)] [[Video](https://youtu.be/jSLPJBr8QTY)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/neo.py)]
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<p>
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<a href="https://youtu.be/jSLPJBr8QTY">
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<img src="https://github.com/petercorke/robotics-toolbox-python/raw/master/docs/figs/neo_youtube.png" width="560">
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K. He, R. Newbury, T. Tran, J. Haviland, B. Burgess-Limerick, D. Kulić, P. Corke, A. Cosgun, "**Visibility Maximization Controller for Robotic Manipulation**", in _IEEE Robotics and Automation Letters_, doi: 10.1109/LRA.2022.3188430. In the video, the robot is controlled using the Robotics toolbox for Python and features a recording from the [Swift](https://github.com/jhavl/swift) Simulator.
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[[Arxiv Paper](https://arxiv.org/abs/2202.12557)] [[IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/9815144)] [[Project Website](https://rhys-newbury.github.io/projects/vmc/)] [[Video](https://youtu.be/vobLvg4E3kM)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/fetch_vision.py)]
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<p>
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<a href="https://youtu.be/vobLvg4E3kM">
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<img src="https://github.com/petercorke/robotics-toolbox-python/raw/master/docs/figs/vmc_youtube.png" width="560">
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**A Purely-Reactive Manipulability-Maximising Motion Controller**, J. Haviland and P. Corke. In the video, the robot is controlled using the Robotics toolbox for Python.
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[[Paper](https://arxiv.org/abs/2002.11901)] [[Project Website](https://jhavl.github.io/mmc/)] [[Video](https://youtu.be/Vu_rcPlaADI)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/mmc.py)]
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<p>
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<a href="https://youtu.be/Vu_rcPlaADI">
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<img src="https://github.com/petercorke/robotics-toolbox-python/raw/master/docs/figs/mmc_youtube.png" width="560">
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## Toolbox ICRA Paper and Citation Info
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<br>
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<br>
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## Toolbox Research Applications
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The toolbox is incredibly useful for developing and prototyping algorithms for research, thanks to the exhaustive set of well documented and mature robotic functions exposed through clean and painless APIs. Additionally, the ease at which a user can visualize their algorithm supports a rapid prototyping paradigm.
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### Publication List
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J. Haviland, N. Sünderhauf and P. Corke, "**A Holistic Approach to Reactive Mobile Manipulation**," in _IEEE Robotics and Automation Letters_, doi: 10.1109/LRA.2022.3146554. In the video, the robot is controlled using the Robotics toolbox for Python and features a recording from the [Swift](https://github.com/jhavl/swift) Simulator.
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[[Arxiv Paper](https://arxiv.org/abs/2109.04749)] [[IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/9695298)] [[Project Website](https://jhavl.github.io/holistic/)] [[Video](https://youtu.be/-DXBQPeLIV4)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/holistic_mm_non_holonomic.py)]
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<p>
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<a href="https://youtu.be/-DXBQPeLIV4">
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<img src="https://github.com/petercorke/robotics-toolbox-python/raw/master/docs/figs/holistic_youtube.png" width="560">
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</a>
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</p>
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J. Haviland and P. Corke, "**NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators**," in _IEEE Robotics and Automation Letters_, doi: 10.1109/LRA.2021.3056060. In the video, the robot is controlled using the Robotics toolbox for Python and features a recording from the [Swift](https://github.com/jhavl/swift) Simulator.
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[[Arxiv Paper](https://arxiv.org/abs/2010.08686)] [[IEEE Xplore](https://ieeexplore.ieee.org/document/9343718)] [[Project Website](https://jhavl.github.io/neo/)] [[Video](https://youtu.be/jSLPJBr8QTY)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/neo.py)]
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<p>
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<a href="https://youtu.be/jSLPJBr8QTY">
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<img src="https://github.com/petercorke/robotics-toolbox-python/raw/master/docs/figs/neo_youtube.png" width="560">
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</p>
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K. He, R. Newbury, T. Tran, J. Haviland, B. Burgess-Limerick, D. Kulić, P. Corke, A. Cosgun, "**Visibility Maximization Controller for Robotic Manipulation**", in _IEEE Robotics and Automation Letters_, doi: 10.1109/LRA.2022.3188430. In the video, the robot is controlled using the Robotics toolbox for Python and features a recording from the [Swift](https://github.com/jhavl/swift) Simulator.
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[[Arxiv Paper](https://arxiv.org/abs/2202.12557)] [[IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/9815144)] [[Project Website](https://rhys-newbury.github.io/projects/vmc/)] [[Video](https://youtu.be/vobLvg4E3kM)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/fetch_vision.py)]
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<p>
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<a href="https://youtu.be/vobLvg4E3kM">
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<img src="https://raw.githubusercontent.com/petercorke/robotics-toolbox-python/future/docs/figs/vmc_youtube.png" width="560">
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</a>
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</p>
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**A Purely-Reactive Manipulability-Maximising Motion Controller**, J. Haviland and P. Corke. In the video, the robot is controlled using the Robotics toolbox for Python.
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[[Paper](https://arxiv.org/abs/2002.11901)] [[Project Website](https://jhavl.github.io/mmc/)] [[Video](https://youtu.be/Vu_rcPlaADI)] [[Code Example](https://github.com/petercorke/robotics-toolbox-python/blob/master/roboticstoolbox/examples/mmc.py)]
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<p>
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<a href="https://youtu.be/Vu_rcPlaADI">
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<img src="https://github.com/petercorke/robotics-toolbox-python/raw/master/docs/figs/mmc_youtube.png" width="560">
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