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The utilization of cloud infrastructure and its extensive range of Internet-accessible resources holds significant potential for advancing intelligent transportation and robotics. Over the past two decades, interest in cloud-edge collaborative ...

Wi-Fi fingerprinting system in the long term suffers from gradually deteriorative localization accuracy, leading to poor user experiences. To keep high accuracy yet at a low cost, we first study long-term variation of access points (APs) and ...

In real-world scenarios, human dialogues are multi-round and diverse. Furthermore, human instructions can be unclear and human responses are unrestricted. Interactive robots face difficulties in understanding human intents and generating suitable ...

Robot teleoperation gains great success in various situations, including chemical pollution rescue, disaster relief, and long-distance manipulation. In this article, we propose a virtual reality (VR) based robot teleoperation system to achieve ...

The development of autonomous vehicles has brought a great impact and changes to the transportation industry, offering numerous benefits in terms of safety and efficiency. How ever, one of the key challenges that autonomous driving faces is how to ...

Autonomous mobile manipulation robots that can collect trolleys are widely used to liberate human resources and fight epidemics. Most prior robotic trolley collection solutions only detect trolleys with 2D poses or are merely based on spe-cific marks and ...

This paper introduces a quadrotor's autonomous take-off and landing system on a moving platform. The designed system addresses three challenging problems: fast pose estimation, restricted external localization, and effective obstacle avoidance. ...

Motion Planning is necessary for robots to complete different tasks. Rapidly-exploring Random Tree (RRT) and its variants have been widely used in robot motion planning due to their fast search in the state space. However, they perform not well in ...

Collision checking is considered one of the most time-consuming tasks in sampling-based path planning algorithms. Traditionally, sampling-based path planning methods draw samples uniformly from the state space, which samples a lot of useless states ...

The hexapod robot is widely used in rough terrain environments due to its flexible and stable locomotion. However, it is hard for the hexapod robot to avoid the dynamic and static obstacles in real time during the motion planning process. To address this ...

In this paper, we present a novel path planning algorithm to achieve fast path planning in complex environments. Most existing path planning algorithms are difficult to quickly find a feasible path in complex environments or even fail. However, our ...

Wi-Fi fingerprinting indoor localization has been studied in past decades producing many outstanding work. However, few has been deployed in real-world scenarios. One of the pain points is time-consuming and effort-intensive fingerprint mapping. ...${}^{\mathrm{}}$

As a common cause of anemia and gastrointestinal bleeding, angiodysplasia (AD) diagnosis in wireless capsule endoscopy (WCE) images is important in clinical. Current manual review requires undivided concentration of the gastroenterologists, which is ...

The sampling-based partial motion planning algorithm has come into widespread application in dynamic mobile robot navigation due to its low calculation costs and excellent performance in avoiding obstacles. However, when confronted with complicated ...

Interactions with either environments or expert policies during training are needed for most of the current imitation learning (IL) algorithms. For IL problems with no interactions, a typical approach is Behavior Cloning (BC). However, BC-like methods ...

Robot path planning is difficult to solve due to the contradiction between the optimality of results and the complexity of algorithms, even in 2D environments. To find an optimal path, the algorithm needs to search all the state space, which costs many ...

A fundamental task in robotics is to plan collision‐free motions among a set of obstacles. Recently, learning‐based motion‐planning methods have shown significant advantages in solving different planning problems in high‐dimensional spaces and ...

In this paper, we propose a novel path planning algorithm for the nonholonomic multiple mobile robot system with applications to a robotic autonomous luggage trolley collection system at airports. We consider this path planning algorithm as a Multiple ...

In a human-robot coexisting environment, reaching the goal position safely and efficiently is essential for a mobile service robot. In this paper, we present an advanced version of the Socially Attentive Reinforcement Learning (SARL) algorithm, namely ...

Label imbalance is an unavoidable issue for deep learning in the field of medical imaging. In terms of semantic segmentation, diseased tissues occur infrequently with very limited volumes, which exerts a strong bias to the learning of convolutional neural ...