News

Qi-Sheng Huang Earns Honourable Mention at CSME Conference

At this year’s CSME Conference, Qi-Sheng Huang received an Honourable Mention (佳作) in the student paper competition for research conducted under the supervision of Dr Lan. The study explores a pursuit strategy inspired by the silkmoth’s distinctive tracking behaviour. By translating this biological mechanism into an engineered system, the team demonstrated notable gains in both efficiency and accuracy, underscoring the value of nature-inspired approaches in robotic guidance and control.

Graduate Team Wins Merit Award in IMBD

A graduate student team supervised by Dr Lan, led by Yen-Cheng Chang alongside two fellow members, has received a Merit Award (優等獎) in the National Intelligent Manufacturing Big Data Analytics Competition (IMBD, 全國智慧製造大數據分析競賽). Their project showcased effective use of artificial intelligence and big data techniques, demonstrating strong analytical capability and innovative problem-solving in data-driven applications.

Undergraduate Team Receives Honourable Mention for Bio-Inspired Ray Project

Three undergraduate students, supervised by Dr Lan, have received an honourable mention (佳作) in the Capstone Project (機械設計與製作專題) competition. Their work focused on a bio-inspired ray system, investigating the propulsion principles of ray-like motion and presenting a functional design that highlights the potential of biomimetic concepts in underwater robotic development.

Ming-Han Wu Takes Third Place in AASRC Best Paper Award

Ming-Han Wu, with co-author Yi-Hsi Yeh, supervised by Dr Lan, has secured third place in the Best Paper Award competition at the AASRC Conference. Their study examined how variations in wing phase shift affect thrust generation in a robotic dragonfly, offering insights that contribute to ongoing research in bio-inspired flight.

Two Teams Win Maker Potential Award at the 2025 Makerthon

Two student teams, supervised by Dr Lan, won the Maker Potential Award (創客潜力獎) at the 2025 Makerthon – Technology Empowerment × Future-Making Competition (創客松-科技賦能X自造未來競賽). One team developed an innovative aerial drone, while the other created a submersible vehicle inspired by marine engineering, both demonstrating the creative spirit and technical skills celebrated by the event.

1st Place at the 2025 Ocean Challenge

Three undergraduates, supervised by Dr Lan, won 1st place at the 2025 Ocean Challenge (臺灣海洋國際青年論壇) with a manta ray-inspired underwater vehicle.

Six Talented Individuals Join The Lab

Six postgraduate students have joined the lab. Welcome aboard!

New Study on Odour Boundaries Published in Physica D

Dr Lan’s latest study, Flow-induced variations in odour boundary formation, explores how odours spread through moving air, an essential process in animal navigation and robotic sensing. Through flow simulations, the research introduces the concept of an ‘odour boundary’ and analyses how it responds to changes in flow speed and diffusion conditions. The team found that while diffusion has limited effect, higher airflow speeds narrow and stabilise the odour boundary. These findings deepen our understanding of biological tracking behaviours and may aid the design of robots capable of locating odour sources in complex environments.

For more information please refer to https://doi.org/10.1016/j.physd.2025.134827.

Nature-Inspired Designs Win Awards in Bionic Design Competition

Under the guidance of Dr Lan, two student teams from the lab took part in the 2025 Bionic Design Competition (仿生設計競賽), an event showcasing nature-inspired innovation for sustainability. Among 78 entries, both teams received awards for their nature-inspired designs: one received a Merit Award for their bio-inspired stingray underwater vehicle, while the other was awarded Honourable Mention for a butterfly-inspired micro air vehicle. The competition, supported by Biomimicry Taiwan, promotes sustainable innovation rooted in natural principles, addressing global challenges from disaster resilience to environmental health.

Innovative Approach to Flapping Flight Analysis Published in Physica D

Dr Lan and Dr Lai’s latest study, ‘Accelerating Flapping Flight Analysis: Reducing CFD Dependency with a Hybrid Decision Tree Approach for Swift Velocity Predictions’, has been published in Physica D: Nonlinear Phenomena. The research introduces a novel framework combining signal decomposition and decision tree algorithms, reducing computational time by up to 75% while maintaining high accuracy. Validated with damselfly data, this approach accelerates flapping flight analysis and supports the efficient design of micro air vehicles (MAVs), offering a scalable solution for future aerodynamic research.

For more information please refer to https://doi.org/10.1016/j.physd.2025.134618.