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Mengyao Liu 0003

dblp:50/9649-3 · DBLP profile ↗
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7ranked-venue papers
5as first author
7since 2021 · last 2025
0000-0003-1714-5022ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Computer networks · 2 · 1 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
3 papers
Embedded and real-time systems · 100%
Computer networks
2 papers
Internet of things and sensor networks · 67% Wireless networking · 33%
Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
swarm robotics
0.912025
CapBot: Enabling Battery-Free Swarm Robotics · ICRA 2025
Internet of things and sensor networks
wireless body area network
0.912025
ENOCH: ENabling On-body network Contention Handling · PerCom 2025
Embedded and real-time systems
intermittent computing
0.712023
Demo Abstract: FreeBot, a Battery-Free Swarm Robotics Platform · SenSys 2023
Embedded and real-time systems › energy harvesting systems
batteryless device
0.612022
BaMbI, a battery free and energy harvesting smartphone · MobiSys 2022
Embedded and real-time systems
energy harvesting systems
0.612022
BaMbI, a battery free and energy harvesting smartphone · MobiSys 2022
Wireless networking
collision resolution
0.312025
ENOCH: ENabling On-body network Contention Handling · PerCom 2025
Wireless networking
medium access control
0.312025
ENOCH: ENabling On-body network Contention Handling · PerCom 2025
Embedded and real-time systems › energy harvesting systems
battery-free systems
0.312025
CapBot: Enabling Battery-Free Swarm Robotics · ICRA 2025
Internet of things and sensor networks
energy harvesting
0.212023
Demo Abstract: FreeBot, a Battery-Free Swarm Robotics Platform · SenSys 2023

Methods — techniques the papers use, named apart from their topics

trophallaxis · 1.7supercapacitors · 1.7bluetooth low energy · 1.7supercapacitor charge storage · 1.3peer-to-peer charge transfer · 1.3fieldbus-like communication · 0.9capacitive coupling · 0.9supercapacitor energy storage · 0.6solar energy harvesting · 0.6
YearPublicationVenuePosition
2025 CapBot: Enabling Battery-Free Swarm Robotics
abstract
Swarm robotics focuses on designing and coordinating large groups of relatively simple robots to perform tasks in a decentralised and collective manner. The swarm provides a resilient and flexible solution for many applications. However, contemporary swarm robots have a significant power problem in that secondary (i.e. rechargeable) batteries are slow to charge and offer lifetimes of only a few years, increasing maintenance costs and pollution due to battery replacement. We imagine a different future, wherein battery-free robots powered by supercapacitors can be recharged in seconds, offer long-life autonomous operation and can rapidly pass charge between one another using trophallaxis. In pursuit of this vision, we contribute the CapBot, a battery-free swarm robot equipped with Mecanum wheels, a Cortex M4F application processor and Bluetooth Low Energy networking. The CapBot fully recharges in 16 s, offers 51 min of autonomous operation at top speed, and can transfer up to 50 % of its available charge to a peer via trophallaxis in under 20 s. The CapBot is fully open source and all software and hardware source is available online.
Mengyao Liu 0003, Lowie Deferme, Tom Van Eyck, Fan Yang 0051, Sam Michiels, Alexandre Abadie, Said Alvarado-Marin, Filip Maksimovic, Genki Miyauchi, Jessica Jayakumar, Mohamed S. Talamali, Thomas Watteyne, Roderich Groß, Danny Hughes 0001
ICRA1
2025 ENOCH: ENabling On-body network Contention Handling
abstract
Body area networking is an important segment of the wireless landscape, connecting a growing range of devices such as fitness trackers and smart watches using short range wireless links. However, conventional wireless technologies such as BLE and ANT provide poor support for low-latency applications such as haptic feedback due to their dependence upon duty-cycling to maintain acceptable power consumption. Recent physical-layer design efforts introduce a low-power alternative by establishing capacitively coupled communication through the human body. This mitigates duty-cycling requirements, but results in channel access times similar to those found in more conventional wireless networks, failing to provide adequate latency guarantees even for modestly sized networks. We address this problem by introducing ENOCH, an ultra-low power 12 MHz receiver that relies on capacitive coupling to establish a fieldbus-like through-body network. ENOCH delivers a sub-μW receiver, 10 kbps link-layer throughput, traffic prioritisation, 97% baseline reliability and 7 ms latency in a 7-node network, regardless of contention for the channel. Our design is simple and uses only commercial off-the-shelf components. As it requires neither large antennas nor crystal oscillators, we believe that further miniaturization beyond the current 1 cm2hardware/software prototype is possible.
Mengyao Liu 0003, Jonathan Oostvogels, Bingwu Fang, Sam Michiels, Yang Yang 0048, Danny Hughes 0001
PerCom1
2024 CaIN: Low Power and Low Latency VHF Mesh Networking
Mengyao Liu 0003, Bingwu Fang, Jonathan Oostvogels, Sam Michiels, Andrei Belogaev, Xinlei Liu 0003, Jeroen Famaey, Danny Hughes 0001
EWSN1
2023 Flute: Enabling a Battery-Free and Energy Harvesting Ecosystem for the Internet of Things
Van Vu Bui, Shuaibu Musa Adam, Brendan J. Mackenzie, Ashok Samraj Thangarajan, Mengyao Liu 0003, Sam Michiels, Nelson Souto Rosa, Huynh Nguyen Bao Phuong, Danny Hughes 0001
MobiQuitous (2)5
2023 Demo Abstract: FreeBot, a Battery-Free Swarm Robotics Platform
abstract
A growing range of networked embedded devices are moving away from batteries and towards super-capacitor charge storage. However, mobile robots remain largely dependent upon batteries with slow recharge cycles and limited lifetimes. In this demonstration paper, we introduce a novel battery-free platform for swarm robotics which features: 24 minutes of operation running at its top speed of 1.24 km/h, a carrying capacity of over 2.5kg, full recharge cycles of under 12 seconds and rapid peer-to-peer charge transfer or trophallaxis in the field. This is supported by an nRF52840 Cortex-M4F equipped with BLE/ANT/802.15.4 transceiver. Notably, while the autonomy of FreeBots is limited compared to battery-powered robots, their operational vs charging duty-cycle is significantly higher at over 99%.
Mengyao Liu 0003, Fan Yang 0051, Sam Michiels, Tom Van Eyck, Danny Hughes 0001, Said Alvarado-Marin, Filip Maksimovic, Thomas Watteyne
SenSys1
2022 BoboLink: Low Latency and Low Power Communication for Intelligent Environments
abstract
Intelligent Environments (IEs) enrich the physical world by connecting it to software applications in order to increase user comfort, safety and efficiency. IEs are often supported by wireless networks of smart sensors and actuators, which offer multi-year battery life within small packages. However, existing radio mesh networks suffer from high latency, which precludes their use in many user interface systems such as real-time speech, touch or positioning. While recent advances in optical networks promise low end-to-end latency through symbol-synchronous transmission, current approaches are power hungry and therefore cannot be battery powered. We tackle this problem by introducing BoboLink, a mesh network that delivers low-power and low-latency optical networking through a combination of symbol-synchronous transmission and a novel wake-up technology. BoboLink delivers mesh-wide wake-up in 1.13ms, with a quiescent power consumption of 237µW. This enables building-wide human computer interfaces to be seamlessly delivered using wireless mesh networks for the first time.
Mengyao Liu 0003, Jonathan Oostvogels, Sam Michiels, Wouter Joosen, Danny Hughes 0001
Intelligent Environments1
2022 BaMbI, a battery free and energy harvesting smartphone
abstract
The short lifespan of conventional smartphone batteries leads to toxic waste and increases replacement costs. In addition, contemporary devices require reliable electrical infrastructure which remains unavailable in major parts of the developing world. To address these problems, we propose a BAttery-free Mobile Interactive device (BaMbI), which aims to offer a scaled down set of smartphone features. BaMbI is based around an ARM Cortex M33 module with integrated LTE-M. In place of a battery, BaMbI uses a solar panel and an array of super-capacitors that offer sustainable operation and that can be fully charged in under one minute when mains power becomes available.
Shuaibu Musa Adam, Ashok Samraj Thangarajan, Mengyao Liu 0003, Danny Hughes 0001, Ka Lok Man
MobiSys3