Category: Bio-Inspired Robotics
How to enable robots navigate based on experiences and predictive map inspired by spatial cognition in the brain?
D. Liu, Z. Lyu, Q. Zou, X. Bian, M. Cong and Y. Du, “Robotic Navigation Based on Experiences and Predictive Map Inspired by Spatial Cognition,” in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2022.3155614.
Abstract:
“Humans and animals have environmental …
What is the latest progress in brain-inspired navigation technology integrating perception and action decision?
YANG Chuang, LIU Jianye, XIONG Zhi, LAI Jizhou, XIONG Jun. Brain-inspired navigation technology integrating perception and action decision: A review and outlook[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(1): 23280-023280.
Abstract
“With the sustained development of brain and neuroscience as …
How does the brain encode head motion?
Jean Laurens, Dora E. Angelaki. Simple spike dynamics of Purkinje cells in the macaque vestibulo-cerebellum during passive whole-body self-motion. Proceedings of the National Academy of Sciences Jan 2020, 201915873; DOI: 10.1073/pnas.1915873117
Significance
“This study characterizes the response dynamics …
Neural-inspired Sparse Sensing and Control for Agile Flight
MURI Project: Neural-inspired Sparse Sensing and Control for Agile Flight
“Researchers from the University of Washington, Carnegie Mellon University, and the Massachusetts Institute of Technology have been awarded a 2019 multidisciplinary university research initiative (MURI) award from the Air Force …
How flight feathers stick together to form a continuous morphing wing?
Laura Y. Matloff, Eric Chang, Teresa J. Feo, Lindsie Jeffries, Amanda K. Stowers, Cole Thomson, David Lentink. How flight feathers stick together to form a continuous morphing wing. Science 17 Jan 2020: Vol. 367, Issue 6475, pp. 293-297. DOI: …
How does the PigeonBot fly like birds using real feathers?
Eric Chang, Laura Y. Matloff, Amanda K. Stowers and David Lentink. Soft biohybrid morphing wings with feathers underactuated by wrist and finger motion. Science Robotics 16 Jan 2020: Vol. 5, Issue 38, eaay1246. DOI: 10.1126/scirobotics.aay1246
Abstract
“Since the Wright …
How to use bioinspired sonar reflectors as guiding beacons for autonomous navigation
Ralph Simon, Stefan Rupitsch, Markus Baumann, Huan Wu, Herbert Peremans, Jan Steckel. Bioinspired sonar reflectors as guiding beacons for autonomous navigation. Proceedings of the National Academy of Sciences Jan 2020, 201909890; DOI: 10.1073/pnas.1909890117
Significance
“Artificial landmarks are widely used …
How the Spiking Neural Network allows for navigation through an environment via landmark association without needing GPS?
Alexander Jones, Andrew Rush, Cory Merkel, Eric Herrmann, Ajey P. Jacob, Clare Thiem, Rashmi Jha. A neuromorphic SLAM architecture using gated-memristive synapses. Neurocomputing, 2019, https://doi.org/10.1016/j.neucom.2019.09.098.
Abstract
“Navigation in GPS-denied environments is a critical challenge for autonomous mobile platforms …
What are the main challenges and the future prospects of neuromorphic computing?
Roy, K., Jaiswal, A. & Panda, P. Towards spike-based machine intelligence with neuromorphic computing. Nature 575, 607–617 (2019) doi:10.1038/s41586-019-1677-2
Abstract
“Guided by brain-like ‘spiking’ computational frameworks, neuromorphic computing—brain-inspired computing for machine intelligence—promises to realize artificial intelligence while reducing the …
How to enable robots to navigate the moon?
A latest IEEE Spectrum Report titled ‘Robots Will Navigate the Moon With Maps They Make Themselves‘ by Prachi Patel has been published.
Astrobotic’s autonomous navigation will help lunar landers, rovers, and drones find their way on the moon. …
Neuromorphic Perception: Event-based Vision
Guillermo Gallego, Tobi Delbruck, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew Davison, Jorg Conradt, Kostas Daniilidis, Davide Scaramuzza. Event-based Vision: A Survey. arXiv preprint arXiv:1904.08405 (2019).
Abstract: Event cameras are bio-inspired sensors that work radically …
Neuromorphic Stereo Vision for Biologically Plausible Robots
Lea Steffen, Daniel Reichard, Jakob Weinland, Jacques Kaiser, Arne Roennau and Rüdiger Dillmann. Neuromorphic Stereo Vision: a Survey of Bio-inspired Sensors and Algorithms. Front. Neurorobot. | doi: 10.3389/fnbot.2019.00028
Anstract: Any visual sensor, whether artificial or biological, maps the 3D-world …
The internal maps of insects
Webb, Barbara. “The internal maps of insects.” Journal of Experimental Biology 222, no. Suppl 1 (2019): jeb188094.
ABSTRACT
Insect navigation is strikingly geometric. Many species use path integration to maintain an accurate estimate of their distance and direction …
Visual navigation in insects and robots
Visual navigation in insects and robots by Barbara Webb, Professor of Biorobotics, University of Edinburgh. She will give a keynote talk at 11th Vision Researchers Colloquium, 8 July, led by Bristol Vision Institute, in partnership with the …
ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
Struckmeier, Oliver, Kshitij Tiwari, Martin J. Pearson, and Ville Kyrki. “ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM.” arXiv preprint arXiv:1904.05667 (2019).
Abstract— In this work, Struckmeier et al. propose a novel, bio-inspired multisensory SLAM approach called ViTa-SLAM. Compared to …
Attractor Dynamics and Embodiment of Neural Computing (Neuromorphic SLAM)
Yulia Sandamirskaya. Attractor Dynamics and Embodiment of Neural Computing. Presented at Neuro Inspired Computational Elements Workshop (NICE 2019).
Dr. Sandamirskaya talked about attractor dynamics and neuromorphic SLAM. The talks introduced head direction cells models based on neuromorphic hardware. How …
Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots
MURI Project Title: “Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots”
Project Website: http://sites.bu.edu/neuroautonomy/
https://electrical.eng.unimelb.edu.au/control-signal-processing/neuro-autonomy
The following content is extracted from the http://www.bu.edu.
A Boston University-led research team was selected to receive a $7.5 million Multidisciplinary …
Insect-Inspired Robots Don’t Need GPS For Orientation
The ‘Brains on Board’ project is a collaboration between several British universities in partnership with the Human Brain Project and seeks to ‘translate’ the brains of ants and bees into algorithms that a machine will understand. Its aim is …
Insect Navigation: From Ants to Robots and Back Again
The latest RIN Navigation News focus on Insect Navigation: From Ants to Robots and Back Again.
For further info, please visit the RIN website. …
MetaFly: flying robotic insect
For further info, please visit the site https://www.kickstarter.com/projects/274008848/metafly-a-new-flying-experience/description…
NeuroSLAM : Neural Simultaneous Localization and Mapping Workshop 13-14 Mar 2019 Paris (France)
NeuroSLAM: Neural Simultaneous Localization and Mapping Workshop
Simultaneous Localization and Mapping (or SLAM) refers to the problem of constructing a map of an unknown environment as it is actively being explored. SLAM has been treated extensively in mobile robotics, providing …
Bio-inspired wind sensation for advanced autonomous drones/UAV navigation
Reliability and accuracy of navigation in flying drones are one of the key challenges that must be solved in autonomous applications. Accurate knowledge of position, attitude, and velocity is a critical input for drones operating in cluttered and challenging environments …
A Map in the Sky for Self-Flying Vehicles
A report titled ‘Flying Taxis Take Flight, Presage New Location Intelligence‘ by Frits van der Schaaf.
…Location intelligence has long been used to present real-time information on maps—for transportation companies’ tracking of shipments; utility companies’ monitoring the status
Robots are learning how to walk like we do
Robots have walked on legs for decades. Today’s most advanced humanoid robots can tramp along flat and inclined surfaces, climb up and down stairs, and slog through rough terrain. Some can even jump.
A report about legged robots on the …
AntBot: desert ants inspired autonomous navigation in outdoor environments
J. Dupeyroux et al. 2019 presents a navigation system inspired by desert ants’ navigation behavior, which requires precise and robust sensory modalities.
They tested several ant-inspired solutions to outdoor homing navigation problems on a legged robot using two optical sensors …
How a simple robotics model of mammal navigation is useful to interpret neurobiological recordings
Place recognition is a complex process involving idiothetic and allothetic information. In mammals, evidence suggests that visual information stemming from the temporal and parietal cortical areas (‘what’ and ‘where’ information) is merged at the level of the entorhinal cortex (EC) …
DeepMind GridCells Code
The DeepMind opens the code of grid cells (Banino et al 2018) via GitHub(https://github.com/deepmind/grid-cells) in Jan. 2019. This package provides an implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published …
Towards Neuromorphic SLAM and Navigation
The latest research Kreiser et al. 2018, published IROS 2018, investigated the use of ultra low-power, mixed signal analog/digital neuromorphic hardware for implementation of biologically inspired neuronal path integration and map formation for a mobile robot.
For further info, please …
How 3D grid cells encode 3D physical space in the human brain?
Novel fantastic research about 3D grid cells in the human brain by Dr. Misun Kim and Professor Eleanor A. Maguire in paper Kim et al. 2019
Misun Kim, Eleanor A. Maguire. Can we study 3D grid codes non-invasively in the …
How three-dimensional (3D) direction information is encoded in the human brain?
Novel fantastic research about 3D head direction cells in the human brain by Dr. Misun Kim and Professor Eleanor A. Maguire in paper Kim et al. 2018.
Misun Kim, Eleanor A. Maguire. Encoding of 3D head direction information in the …
What if we could design an autonomous flying robot with the navigational and learning abilities of a honeybee?
Some brief introduction about the project ‘Brains on Board: Neuromorphic Control of Flying Robots’
What if we could design an autonomous flying robot with the navigational and learning abilities of a honeybee? Such a computationally and energy-efficient autonomous …
Brain-inspired dynamic path replanning in autonomous navigation for robotic swarms
What do animal brains have in common with a swarm of robots?
In an effort to improve robotic swarming algorithms, an interdisciplinary team of scientists will study how the brain allows an animal to navigate and change its route while …
Animals Teach Robots to Find Their Way
By Chris Edwards
Communications of the ACM, August 2018, Vol. 61 No. 8, Pages 14-16. 10.1145/3231168
Mammalian research has underpinned the key models used in robot development. Analogs of neural networks found in the rat’s brain underpin the most widespread …
How do bats navigate in 3D environments?
The excerpt note is about bat navigation from Yovel & Ulanvosky 2017.
Yovel, Yossi, and Nachum Ulanvosky. “1.18 Bat Navigation.” Learning and Memory: A Comprehensive Reference (2017): 333.
Navigation, the capacity to plan and execute a goal-directed path, …
Biologically inspired visual odometry based on the computational model of grid cells
A biologically inspired visual odometry based on the computational model of grid cells, which is developed based on the the source code of the computational model of grid cells: http://clm.utexas.edu/fietelab/code.htm, and LIBVISO2: http://www.cvlibs.net/software/libviso/, by Huimin Lu, Junhao Xiao, …
Why is it a so difficult problem for navigating in a three-dimensional world?
The excerpt note is about spatial cognition in non-horizontal environments by Jeffery K. J. et al., 2013.
Jeffery, Kathryn J., Aleksandar Jovalekic, Madeleine Verriotis, and Robin Hayman. “Navigating in a three-dimensional world.” Behavioral and Brain Sciences 36, no. …
How to build spatial representation model (x, y, z, yaw) for 3D SLAM inspired by the brain?
The excerpt note is some relevant references about 2.5D SLAM inspired by the brain, which is expanded from the RatSLAM system.
Guth F. A. et. al. present an Hippo 3D (DolphinSLAM), expanded from the RatSLAM system, which was initially designed …
Navigation in AI-Brain and Bio-Brain
Most animals, including humans, are able to flexible navigate the complex world. They can explore new areas, returning quickly to remembered places, and taking shortcuts. The recent discovery in neuroscience, including place cells, grid cells, head direction cells, border cells, …
How to match panoramas images in opposite viewpoint for visual route recognition?
These references are about key matching methods of panoramas images in forward and backward direction for visual route recognition in brain inspired navigation.
Milford Michael. “Visual route recognition with a handful of bits.” Proc. 2012 Robotics: Science and …
Exciting New Bio-inspired Robots Include Rolling Spider, Flying Fox From Festo
Festo has just announced its two newest bionic learning network robots—one is a very convincing flying fox, and the other is a walking, tumbling robot inspired by a Saharan spider. Over the last few years, we’ve met ants, butterflies, …
How to process panoramic images for scene recognition?
The excerpt note is about panoramic images from Zhang et al., 2007.
Zhang, A. M. (2007). Robust appearance based visual route following in large scale outdoor environments. Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Australia, 2007.…
How to implement appearance-based scene recognition using panoramic images for persistent navigation and mapping in open areas?
The excerpt note is about vision processing and appearance-based recognition using panoramic images for persistent navigation and mapping in open areas from Michael et al., 2010.
Michael Milford, and Gordon Wyeth. “Persistent Navigation and Mapping using a Biologically Inspired …
How to implement the Loop Closure (Map Correction) in RatSLAM?
This excerpt note is about loop closure (map correction) in RatSLAM from Michael et al., 2008 and Michael 2008 book.
Michael Milford, and Gordon F. Wyeth. “Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System…
What is the future of grand challenges for robot navigation and exploration in extreme environments?
The excerpt note is about the grand challenges of robot navigation and exploration in extreme environments in the next 5 to 10 years according to the latest paper published in Science Robotics (Yang et al., Sci Robotics 2018).
Yang, G.Z., …
What is the detail principle of Experience Map: Component, Transition, Creation, Maintenance in RatSLAM?
The excerpt note is about Experience Map: Component, Transition, Creation, Maintenance, from Michael 2008.
Michael Milford. Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning Based on Hippocampal Models. Springer-Verlag Berlin Heidelberg Press, pp. 129-143, 149-150, 2008.
I. …
How to build cognitive map (experience map) for autonomous navigation in RatSLAM?
The excerpt note is about how to build Experience Map in RatSLAM from Michael et al 2008.
An experience map is a fine-grained topological map composed of many individual experiences, e, connected by transitions, t. Each experience 
is defined by …
How to represent robot’s pose with a rate-coded neural network CAN in RatSLAM?
The excerpt note is about robot’s pose representation with a rate-coded neural network, continuous attractor network (CAN) in RatSLAM from Michael and Gordon 2010.
The CAN is a neural network that consists of an array of units with fixed weighted …
How to perform Path Integration in RatSLAM?
The excerpt note is about path integration in RatSLAM from Michael et al. 2010, 2008, 2004.
The RatSLAM system uses poses cells to concurrently represent the beliefs about the location and orientation of the robot. By representing 
in the same …
How does the velocity take effects on movement of activity of Pose Cells in RatSLAM?
The excerpt note is about how to move the activity of pose cells according to the translational and rotational velocity in RatSLAM from Michael et al. 2008, 2004.
The new path integration method shifts existing pose cell activity rather than …
How to update the activity of pose cells in RatSLAM?
The excerpt note is from Michael et al., 2008, which explains the detail process to update the activity of pose cells in RatSLAM.
Milford, Michael J., and Gordon F. Wyeth. “Mapping a suburb with a single camera using a …
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Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- How does one brain circuit encode memories of both places and events?
- How sleep microstructure organizes memory replay?
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