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Results for "Bio-inspired robotics"

From sky to sea: A biologically inspired aerial–aquatic robot

MBZUAI ·

MBZUAI's Ke Wu is developing bio-inspired robots, including a transmedia drone modeled after the diving beetle that can move in both air and water. The design will be presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) in Hangzhou, China. The research explores how principles from nature and evolution can inform robot design, control, and learning, integrating AI with embodied intelligence. Why it matters: This work contributes to the rapidly evolving field of soft robotics and offers new insights for developing more adaptive, biologically grounded intelligent systems in the region and globally.

The intelligence of the hand

MBZUAI ·

Lorenzo Jamone from Queen Mary University of London presented on cognitive robotics, focusing on tactile exploration and manipulation by robots. The talk covered combining biology, engineering, and AI for advanced robotic systems. Jamone directs the CRISP group and has over 100 publications in cognitive robotics. Why it matters: This highlights the ongoing research into more sophisticated robotic systems that can interact with complex environments, an area crucial for future applications in manufacturing and human-robot collaboration in the GCC.

AI, Robotics, and the Living: A Research Journey and Future Perspectives

MBZUAI ·

Professor Cesare Stefanini will discuss the relationship between AI and natural systems, highlighting robotics inspired by nature. His talk will cover neuro-inspired robot control, bio-hybrid ecosystems, and advancements in biomedical and industrial robotics. Stefanini will share achievements in underwater robot locomotion, AI-powered biomedical systems, and industrial platforms enhancing human manipulation. Why it matters: The talk at Khalifa University reflects the UAE's interest in bio-robotics research and integrating AI into various sectors, potentially fostering collaborations and advancements in the field.

Building applications inspired by the human eye

KAUST ·

KAUST researchers in the Sensors Lab are developing neuromorphic circuits for vision sensors, drawing inspiration from the human eye. They created flexible photoreceptors using hybrid perovskite materials, with capacitance tunable by light stimulation, mimicking the human retina. The team collaborates with experts in image characterization and brain pattern recognition to connect the 'eye' to the 'brain' for object identification. Why it matters: This biomimetic approach promises advancements in AI, machine learning, and smart city development within the region.

Tactile robots: building the machine and learning the self

MBZUAI ·

Sami Haddadin from the Technical University of Munich (TUM) discusses a shift in robotics towards machines that autonomously develop their own blueprints and controls. He highlights advancements driven by human-centered design, soft control, and model-based machine learning, enabling human-robot collaboration in manufacturing and healthcare. Haddadin also presents progress towards autonomous machine design and modular control architectures for complex manipulation tasks. Why it matters: This research has implications for advancing robotics and AI in the GCC region, especially in manufacturing and healthcare, by enabling safer and more efficient human-robot collaboration.

Humanoid Robots and the Computational Problems Regarding the Human

MBZUAI ·

Yoshihiko Nakamura from the University of Tokyo discusses the computational challenges of humanoid robots, extending beyond sensing and control to understanding human movement, sensation, and relationships. The talk covers recent research on mechanical humanoid robots with a focus on actuators and computational problems related to human movements. Nakamura highlights the need for humanoid robots to interpret human actions and interactions for effective application. Why it matters: Addressing these computational challenges is crucial for developing more sophisticated and human-compatible robots for use in various human-centered applications within the region and globally.

Award-winning robotic fish take deep learning below the surface

MBZUAI ·

Researchers from MBZUAI, Khalifa University, and Sorbonne University Abu Dhabi developed H-SURF, a system of underwater robotic fish that can swim, communicate, and gather information without human guidance. The robotic fish use bioinspired robotics with streamlined bodies, fins, and propellers to produce fluid movement. They communicate with each other using light instead of sound to reduce noise. Why it matters: This award-winning system represents a significant advancement in autonomous underwater robotics, offering a less intrusive way to monitor marine environments and gather data, with potential applications in marine biology and environmental research.

Mechanics and mimicry: Yoshihiko Nakamura’s journey in robotics

MBZUAI ·

MBZUAI Professor Yoshihiko Nakamura discusses his career in robotics, starting from its early days as a field. He notes the initial skepticism towards robotics as an academic discipline in the 1970s and its gradual formalization. Nakamura's research is driven by the mathematics of movement, optimization, and non-linearity, drawing inspiration from neuroscience, psychology, and linguistics. Why it matters: Nakamura's insights provide a historical perspective on the evolution of robotics research and highlight the interdisciplinary nature of the field, with implications for the future of AI development in the region.