Keypoint detection and description play a pivotal role in various roboti...
With the development of IoT and edge computing, there is a need for effi...
As multi-robot systems continue to advance and become integral to variou...
The remarkable growth of unmanned aerial vehicles (UAVs) has also sparke...
Ultra-wideband (UWB) positioning has emerged as a low-cost and dependabl...
With the increasing use of drones across various industries, the navigat...
As mobile robots become more ubiquitous, their deployments grow across u...
Aerial scans with unmanned aerial vehicles (UAVs) are becoming more wide...
Remote identification of Unmanned Aerial Vehicles (UAVs) is becoming
inc...
The integration of blockchain technology in robotic systems has been met...
Drones have become essential tools in a wide range of industries, includ...
Ultra-wideband (UWB) localization methods have emerged as a cost-effecti...
Integrating multiple LiDAR sensors can significantly enhance a robot's
p...
LiDAR has become one of the primary sensors in robotics and autonomous s...
Robotic systems are more connected, networked, and distributed than ever...
The increased use of Internet of Things (IoT) devices – from basic senso...
Considering the accelerated development of Unmanned Aerial Vehicles (UAV...
Multiple opportunities lie at the intersection of multi-robot systems an...
Lidar-based simultaneous localization and mapping (SLAM) approaches have...
Systems for relative localization in multi-robot systems based on
ultra-...
With the increasing ubiquity of autonomous robotic solutions, the intere...
In recent years, multi-robot systems have received increasing attention ...
The role of deep learning (DL) in robotics has significantly deepened ov...
Deep learning methods have revolutionized mobile robotics, from advanced...
Over the last decade, robotic perception algorithms have significantly
b...
Ultra-wideband (UWB) ranging has emerged as a key radio technology for r...
Lidar technology has evolved significantly over the last decade, with hi...
Trust is increasingly becoming a key consideration in the design of
auto...
Autonomous systems are becoming inherently ubiquitous with the advanceme...
Unmanned aerial vehicles (UAVs) are becoming largely ubiquitous with an
...
The combination of data from multiple sensors, also known as sensor fusi...
Ultra-wideband (UWB) technology is a mature technology that contested ot...
Micro-aerial vehicles (MAVs) are becoming ubiquitous across multiple
ind...
Vehicles with prolonged autonomous missions have to maintain environment...
Effective collaboration in multi-robot systems requires accurate and rob...
Deep reinforcement learning has recently seen huge success across multip...
As autonomous robots become increasingly ubiquitous, more attention is b...
Autonomous or teleoperated robots have been playing increasingly importa...
Current research directions in deep reinforcement learning include bridg...
The integration of edge computing in next-generation mobile networks is
...
This conceptual paper discusses how different aspects involving the
auto...
Mobile edge computing (MEC) and next-generation mobile networks are set ...
Autonomous harvesting and transportation is a long-term goal of the fore...
Rescue vessels are the main actors in maritime safety and rescue operati...
More widespread adoption requires swarms of robots to be more flexible f...
Ultra-wideband technology has emerged in recent years as a robust soluti...
Accurate segmentation of kidneys and kidney tumors is an essential step ...
Ultra-wideband (UWB) wireless technology has seen an increased penetrati...
Small unmanned aerial vehicles (UAV) have penetrated multiple domains ov...
One of the key challenges in the collaboration within heterogeneous
mult...