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This paper proposes a novel approach to enhance the realism of a rule-based crowd simulation model by incorporating social rules and gaze-driven attention with consistent animations. Current crowd simulation models focus mostly on steering towards a ...

• We conducted a quantitative analysis of intelligent SCA technology over the past 20 years using bibliometric methods and data portrait techniques and traced earlier literature for a systematic review.
• We identified the hotspots and ...

With the increasing promotion of digital technology, safety issues faced by rush ships in the maritime industry have once again received attention. Ship collision avoidance (SCA) is not only a hot topic in the shipping industry but also an eye-...

In this work, we develop an optimization-based solution for a manipulation planning among obstacles. This task is particularly challenging for collaborative manipulators when the operations include movements through the singular configurations. ...

In this work, we study the problem where a group of mobile agents needs to reach a set of goal locations, but it does not matter which agent reaches a specific goal. Unlike most of the existing works on this topic that typically assume the ...

Due to their agility, cost-effectiveness, and high maneuverability, Unmanned Aerial Vehicles (UAVs) have attracted considerable attention from researchers and investors alike. Path planning is one of the practical subsets of motion planning for UAVs. It ...

An existing extension of the Cooperative Task Space is reformulated in the dual quaternion domain to form the Extended Cooperative Dual Task Space (ECDTS).This representation allows for the description of both uncoordinated and coordinated ...

Populating virtual words with realistic pedestrian behaviours is challenging but essential to ensure natural interactions with users. In pedestrian encounters, successful collision avoidance requires adapting speed and/or locomotor trajectory based on ...

Creating vivid crowd animations is core to immersive virtual environments in digital games. This work focuses on tackling the challenges of the crowd behavior generation problem. Existing approaches are labor-intensive, relying on practitioners to ...

Reinforcement Learning (RL) has become a popular framework for learning desired behaviors for computational agents in graphics and games. In a multi-agent crowd, one major goal is for agents to avoid collisions while navigating in a dynamic environment. ...

The domain of beyond-the-visual-line-of-sight (BVLOS) flights of unmanned aerial vehicles (UAVs) has unique navigational challenges such as the reliable estimation, evaluation and mitigation of the risk of the associated flight paths. To tackle ...

To perform complex tasks, drones must have the ability to move autonomously. Ensuring collision avoidance is very important for the safe movement of autonomous drones indoors. FIRAS function-based potential field method is the standard for ...

• A dataset is created using velocities of wheels and distance of obstacle from AMR.

In this paper, a novel approach based on Machine Learning (ML) concept, i.e., the Adaptive Stochastic Gradient Descent Linear Regression (ASGDLR) algorithm, is developed to segregate an AMR's directional movement as right and left ...

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This paper proposed a motion planning and control approach for real-time collision avoidance of high degree-of-freedom (DoF) robots. It constructs a 3D visibility graph by representing external obstacles with discrete polyhedrons and searches for the ...

Even before 5G is rolled out, Mobile Edge Computing (MEC) can be considered as a key driver towards the deployment of vehicular use cases, which pose stringent latency and bandwidth requirements to the underlying Vehicle-to-Everything (V2X) ...

Distributed formation control and obstacle avoidance are two important challenges in autonomous navigation of a swarm of drones and can negatively affect each other due to possible competition that arises between them. In such a platform, a multi-...

In this paper, we present IVO: Inverse Velocity Obstacles an egocentric framework that improves the real time implementation. The proposed method stems from the concept of velocity obstacle and can be applied for both single agent and multi-agent ...

Crowd simulation has its greatest utility in the study of safety measures for crowded events. However, total evacuation time, which is the most important feature in crowd evacuation, can vary depending on the population, the environment, the adopted ...

We present results of a preliminary study on our planned system for the detection of obstacles in the physical environment (PE) by means of an RGB-D sensor and their unobtrusive signalling using metaphors within the virtual environment (VE).

Safe collaboration of human and robot was examined in simulation mode.Scenario and tests were conducted for collaborative hand lay-up of carbon fabric.Proactive and adaptive techniques were implemented in Virtual Environment.Effectiveness of both ...

The market for low-cost unmanned aerial vehicles (UAVs) is rapidly increasing. For example, the systems can be equipped with high-resolution digital cameras for inspection flights of buildings or industrial facilities like wind power plants. To support ...