Navigating biological space: essentials of biology for bio-inspired design

Evolutionary co-optimisation of robot morphology and control: toward a seahorse-tail inspired robotic manipulator

Twitter User Representation using Weakly Supervised Graph Embedding

Autonomous Vehicles: Wireless Networking for Cooperative Maneuvering

Self-driving Vehicles, Can They Be Safe in Mixed Traffic?

Beyond Supervised Deep Learning for Autonomous Driving

Deploying Automated Vehicles in the City: What About the Maps?

Challenges and Opportunities in Autonomous Navigation

Robust Fitting in Computer Vision

A Tailored Benders Decomposition Approach for Last-mile Delivery with Autonomous Robots

Everything Has Been Done, It Is Our Job to Do It One Better in Image Matching and Localisation

Knowledge Representation & Reasoning in CRAM: A Cognitive Architecture for Robot Agents Accomplishing Everyday Manipulation Tasks

Interacting with Socially Interactive Agents

Experimental Demonstration of Reservoir Computation using Emergent Domain Wall Dynamics in a Patterned Magnetic Substrate

Multi-Weight Directional Artificial Synapses with Trapezoidal Geometry for Neuromorphic Computing

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/98d8e5171b4f8a63004e3ed7d2a31398.png)](https://us06web.zoom.us/rec/play/DDZVQIbNRQPkIv6DZW9qt3dqwFx_jiexHxt4QHPjL2GAS2qUNdxL2R2w2jEwqgbVqyeqory2Pjgtqend.QIiKM0iZ19Oe6nI1?autoplay=true&startTime=1657176786000) 
Robotic models can provide new insights into how animals use musculoskeletal systems to move through their environment. These biological motors drive crucial physiological, behavioural—and ultimately ecological and evolutionary—processes. But the complexity of interacting muscles and skeletal elements limits what we can directly observe and measure. Replicating aspects of these biological systems with robotic mechanisms lets us test new hypotheses and explore biologically inspired design applications. This session brings together a diverse set of researchers exploring new ways to implement and apply musculoskeletal robotics.

A4: Muscles & Motors: Organismal bioinspired robotics

technical paper

[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/98d8e5171b4f8a63004e3ed7d2a31398.png)](https://us06web.zoom.us/rec/play/DDZVQIbNRQPkIv6DZW9qt3dqwFx_jiexHxt4QHPjL2GAS2qUNdxL2R2w2jEwqgbVqyeqory2Pjgtqend.QIiKM0iZ19Oe6nI1?autoplay=true&startTime=1657176786000) 
Robotic models can provide new insights into how animals use musculoskeletal systems to move through their environment. These biological motors drive crucial physiological, behavioural—and ultimately ecological and evolutionary—processes. But the complexity of interacting muscles and skeletal elements limits what we can directly observe and measure. Replicating aspects of these biological systems with robotic mechanisms lets us test new hypotheses and explore biologically inspired design applications. This session brings together a diverse set of researchers exploring new ways to implement and apply musculoskeletal robotics.

s2-5: ML models and LLMs

Keynote

keynote

**Session chair:** Stephane Mangin, Université de Lorraine


GOK - MRAM, Magnetic Logic and Related Devices I

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