Technological revolutions in smart farming: Current trends, challenges & future directions

V Sharma, AK Tripathi, H Mittal - Computers and Electronics in Agriculture, 2022 - Elsevier
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

Teams of robots in additive manufacturing: a review

A Alhijaily, ZM Kilic, ANP Bartolo - Virtual and Physical Prototyping, 2023 - Taylor & Francis
Additive manufacturing (AM) is a key enabler and technological pillar of the fourth industrial
revolution (Industry 4.0) as it increases productivity and improves resource efficiency …

Cluster-based routing protocols for flying ad hoc networks (FANETs)

OT Abdulhae, JS Mandeep, M Islam - IEEE access, 2022 - ieeexplore.ieee.org
Flying Ad-Hoc Network (FANET) is a set of Unmanned Aerial Vehicles (UAVs) inter-
connected wirelessly. FANETs self-organize and provide low-cost, adaptable, and simple-to …

[HTML][HTML] Designing UAV swarm experiments: A simulator selection and experiment design process

A Phadke, FA Medrano, CN Sekharan, T Chu - Sensors, 2023 - mdpi.com
The rapid advancement and increasing number of applications of Unmanned Aerial Vehicle
(UAV) swarm systems have garnered significant attention in recent years. These systems …

Agent smith: A single image can jailbreak one million multimodal llm agents exponentially fast

X Gu, X Zheng, T Pang, C Du, Q Liu, Y Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
A multimodal large language model (MLLM) agent can receive instructions, capture images,
retrieve histories from memory, and decide which tools to use. Nonetheless, red-teaming …

Kt-bt: A framework for knowledge transfer through behavior trees in multirobot systems

SSO Venkata, R Parasuraman… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multirobot and multiagent systems demonstrate collective (swarm) intelligence through
systematic and distributed integration of local behaviors in a group. Agents sharing …

Modeling Wind and Obstacle Disturbances for Effective Performance Observations and Analysis of Resilience in UAV Swarms

A Phadke, FA Medrano, T Chu, CN Sekharan… - Aerospace, 2024 - mdpi.com
UAV swarms have multiple real-world applications but operate in a dynamic environment
where disruptions can impede performance or stop mission progress. Ideally, a UAV swarm …

[PDF][PDF] Examining application-specific resiliency implementations in UAV swarm scenarios

A Phadke, FA Medrano - Intell. Robot, 2023 - researchgate.net
The number of real-world scenarios where the use of an unmanned aerial vehicle (UAV)
swarm is beneficial has greatly increased in recent years. From precision agriculture to …

Prioritized planning algorithm for multi-robot collision avoidance based on artificial untraversable vertex

H Li, T Zhao, S Dian - Applied Intelligence, 2022 - Springer
This paper presents a method to avoid collisions and deadlocks between mobile robots
working collaboratively in a shared physical environment. Based on the shared knowledge …

Data-driven risk-sensitive model predictive control for safe navigation in multi-robot systems

A Navsalkar, AR Hota - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Safe navigation is a fundamental challenge in multi-robot systems due to the uncertainty
surrounding the future trajectory of the robots that act as obstacles for each other. In this …