Evo-Bots: A Simple, Stochastic Approach to Self-assembling Artificial Organisms

Escalera, Juan A.; Doyle, Matthew; Mondada, Francesco; Groß, Roderich

doi:10.1007/978-3-319-73008-0_26

Cited by 6 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Speed: The FreeBot has a maximum speed of 1.24km/h and minimum speed of 0.34km/h. This is in line with the speed of contemporary battery powered platforms [4,5,7].…”

Section: Discussionsupporting

confidence: 78%

“…Autonomy: The FreeBot has a maximum autonomy of 24 minutes running at top speed with no payload and can carry over 2.5kg, an order of magnitude more than prior swarm robotics platforms [4,5,7].…”

Section: Discussionmentioning

confidence: 99%

“…Despite their divergent designs these robots both offer around 3 hours of battery life and a 3 hour recharge cycle for a duty cycle of 50%. One approach to extending battery life is trophallaxis [4], wherein robots recharge each other in the field. For example, evo-bots [4] take 160 minutes to charge a peer for 30 minutes of operation, achieving a 15.79% duty cycle.…”

Section: Related Workmentioning

confidence: 99%

“…One approach to extending battery life is trophallaxis [4], wherein robots recharge each other in the field. For example, evo-bots [4] take 160 minutes to charge a peer for 30 minutes of operation, achieving a 15.79% duty cycle.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Demo Abstract: FreeBot, a Battery-Free Swarm Robotics Platform

Liu,

Yang,

Michiels

et al. 2023

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems

View full text Add to dashboard Cite

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%.

show abstract

“…Speed: The FreeBot has a maximum speed of 1.24km/h and minimum speed of 0.34km/h. This is in line with the speed of contemporary battery powered platforms [4,5,7].…”

Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Demo Abstract: FreeBot, a Battery-Free Swarm Robotics Platform

Liu,

Yang,

Michiels

et al. 2023

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems

View full text Add to dashboard Cite

show abstract

“…VMs are system software that interpret source code (Urbi), bytecode (ASEBA and Buzz), or a generated finite-state machine table (supervisory control). While Urbi interprets scripts directly, the compilation to bytecode allows a higher execution efficiency 13 as repeated syntactic and semantic analysis can be avoided. While the use of a VM increases the portability of the code, it is also a limitation as interpreted code-except the calling of library functions-has a reduced execution efficiency as shown in [61], [65].…”

Section: Robotic Languages and Virtual Machinesmentioning

confidence: 99%

Computational Resources of Miniature Robots: Classification and Implications

Trenkwalder

2019

IEEE Robot. Autom. Lett.

View full text Add to dashboard Cite

When it comes to describing robots, many roboticists choose to focus on the size, types of actuators or other physical capabilities. As most areas of robotics deploy robots with large memory and processing power, the question "how computational resources limit what a robot can do" is often overlooked. However, the capabilities of many miniature robots are limited by significantly less memory and processing power. At present, there is no systematic approach to comparing and quantifying the computational resources as a whole and their implications.This paper proposes computational indices that systematically quantify computational resources-individually and as a whole. Then, by comparing 31 state-of-the-art miniature robots, a computational classification ranging from non-computing to minimally-constrained robots is introduced. Finally, the implications of computational constraints on robotic software are discussed.

show abstract