Álisson Assis Cardoso
Papers
1
Total Citations
2
H-Index
1
About
Álisson Assis Cardoso is a researcher at the forefront of integrating robotics, sensor data compression, and low-power wide-area networks. His primary research areas include autonomous systems, LiDAR data processing, and efficient wireless communication for robotic applications. Cardoso’s most notable contribution is his pioneering work on utilizing autoencoders for latent representation and efficient transmission of LiDAR data via LoRa in ROS, a methodology that addresses the critical bandwidth limitations of LoRaWAN networks while enabling real-time data streaming for robots and autonomous vehicles. This work, published in 2025, has already garnered 2 citations, signaling its emerging impact in the field. By combining deep learning-based compression with long-range, low-power communication, Cardoso is helping to overcome a key bottleneck in remote robotic operations. His research holds significant promise for applications in precision agriculture, environmental monitoring, and autonomous navigation in areas with limited connectivity. As a rising voice in the robotics and IoT communities, Cardoso is shaping the future of how sensor-rich autonomous systems communicate over constrained networks.
Research Focus
Key Achievements
Top Papers
- 1