AIMC Topic: Insecta

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Jump, recharge, repeat: Insect-inspired jumping robots and the challenge of energy harvesting.

Science robotics
Jumping biorobots merge insect agility with energy harvesting, enabling new mobility and long-term autonomous operation.

Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control.

Science advances
Aerial insects exhibit agile maneuvers such as sharp braking, saccades, and body flips under disturbances; in contrast, insect-scale aerial robots are limited to tracking smooth trajectories with small acceleration. To achieve similar flight capabili...

Interval estimation of thermal summation parameters in forensically important insects.

Scientific reports
Estimating time of death based on entomological evidence commonly relies on the "law of total effective temperature", which requires developmental parameters of specific insect taxa. These are often calculated using the method of Ikemoto and Takai. H...

A fusion transfer learning framework for intelligent pest recognition in sustainable agriculture.

Scientific reports
With the fast growth in the population of the world, there is a constantly increasing requirement for sustainable food supplies. Agriculture is the backbone of the global food supply, with vegetables and fruits being essential for a balanced intake. ...

Trait mediation explains decadal distributional shifts for a wide range of insect taxa.

Nature communications
Shifts in insect distributions have been reported globally, largely attributed to climate and landscape changes. Communities are being reshaped, with species response traits mediating the effects of changing environments. Using a machine-learning app...

Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture.

Scientific reports
Agriculture 5.0 is a principal economic activity in the world with major workforce dependent crops cultivation. An automated system for crops field insect pest identification can help decrease labour, while also improving the speed and precision in c...

Identifying Cocoa Flower Visitors: A Deep Learning Dataset.

Scientific data
Cocoa is a multi-billion-dollar industry but research on improving yields through pollination remains limited. New embedded hardware and AI-based data analysis is advancing information on cocoa flower visitors, their identity and implications for yie...

Muscle-inspired elasto-electromagnetic mechanism in autonomous insect robots.

Nature communications
In nature, the dynamic contraction and relaxation of muscle in animals provide the essential force and deformation necessary for diverse locomotion, enabling them to navigate and overcome environmental challenges. However, most autonomous robotic sys...

CATransU-Net: Cross-attention TransU-Net for field rice pest detection.

PloS one
Accurate detection of rice pests in field is a key problem in field pest control. U-Net can effectively extract local image features, and Transformer is good at dealing with long-distance dependencies. A Cross-Attention TransU-Net (CATransU-Net) mode...

Acoustic monitoring for tropical insect conservation.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past de...