New research improves predictions for solid waste management
Peer-Reviewed Publication
Updates every hour. Last Updated: 1-May-2025 09:08 ET (1-May-2025 13:08 GMT/UTC)
A new approach for predicting the contents of municipal solid waste can help improve the efficiency of recycling and landfill operations. The new method applies a conventional approach to forecasting how many total tons of solid waste will be generated at the county level and incorporates a separate, complimentary model that predicts the makeup of the waste with an unprecedented level of detail.
Scientists from Nanyang Technological University, Singapore (NTU Singapore), Osaka University, and Hiroshima University have developed an advanced swarm navigation algorithm for cyborg insects that prevents them from becoming stuck while navigating challenging terrain. Published in Nature Communications, the new algorithm represents a significant advance in swarm robotics. It could pave the way for applications in disaster relief, search-and-rescue missions, and infrastructure inspection. Cyborg insects are real insects equipped with tiny electronic devices on their backs - consisting of various sensors like optical and infrared cameras, a battery, and an antenna for communication - that allow their movements to be remotely controlled for specific tasks. The control of a single cyborg insect was first demonstrated by Professor Hirotaka Sato from NTU Singapore’s School of Mechanical and Aerospace Engineering in 2008. However, a single insect is insufficient for operations such as search-and-rescue missions, where earthquake survivors are spread out and there is an optimal 72-hour window for locating them. This latest paper on the new swarm system uses a leader-follower dynamic, where one cyborg insect acts as a group leader guiding 19 others. The team noted several benefits to their new swarm algorithm during lab experiments. Allowing the cyborg insects to move more freely reduced the risk of the cyborgs getting stuck in obstacles, and nearby cyborgs could also help free those stuck or flipped over. Prof Sato said the technology is envisioned to be helpful in search and rescue missions, infrastructure inspection, and environmental monitoring, where narrow spaces and unpredictable conditions render conventional robots ineffective.