23 papers · ranked by Valyu relevance
Jianwei Zhao, Jianhua Fang, Shouzhong Wang, Kun Wang + 7 more
'Chengxiang Liu' 'Tao Han' 'Anastassia Angelopoulou' 'Jude Hemanth' 'Peter M. Roth' 'Epameinondas Kapetanios' 'Jose Garcia Rodriguez'] The existing ultrasonic obstacle avoidance robot only uses an ultrasonic sensor in the process of obstacle avoidance, which can only be avoided according to the fixed obstacle avoidance…
Aisha Muhammad, Mohammed A. H. Ali, Sherzod Turaev, Rawad Abdulghafor + 7 more
'Rawad Abdulghafor' 'Ibrahim Haruna Shanono' 'Zaid Alzaid' 'Abdulrahman Alruban' 'Rana Alabdan' 'Ashit Kumar Dutta' 'Sultan Almotairi' 'Gregor Klancar'] This paper aims to develop a new mobile robot path planning algorithm, called generalized laser simulator (GLS), for navigating autonomously mobile robots in the…
Anh‐Tu Nguyen, Cong-Thanh Vu
In recent years, the mobile robot has been considerable attention to researchers for its application in various environments. For a mobile robot navigating its way from starting point to a goal point while traversing through deterrents, needs to recognize the obstacles and generate new trajectories to reach the…
Eleni Kelasidi, Signe Moe, Kristin. Y. Pettersen, Anna M. Kohl + 2 more
'Pål Liljebäck' 'Jan Tommy Gravdahl'] The use of unmanned underwater vehicles is steadily increasing for a variety of applications such as mapping, monitoring, inspection and intervention within several research fields and industries, e.g., oceanography, marine biology, military, and oil and gas. Particularly…
Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang + 3 more
'Daniele Calandriello' 'Lorenzo Rosasco' 'Daniele Pucci'] Programming by demonstration has received much attention as it offers a general framework which allows robots to efficiently acquire novel motor skills from a human teacher. While traditional imitation learning that only focuses on either Cartesian or joint…
Michael Sidikpramana, Keaton Jones, Cristopher M. Niell
In natural environments, animals must effectively maneuver around obstacles to reach goals such as food or shelter. Recent work has demonstrated that laboratory mice use vision for naturalistic behavior such as prey capture, escape, and distance estimation. However, it is unknown to what extent mice use vision relative…
Shan Zhong, Nader Pouratian, Paul Schrater, Vassilios Christopoulos
Action selection in cluttered environments, where individuals must simultaneously pursue goals and avoid obstacles, presents a significant challenge for the brain. To understand the underlying mechanisms of action selection in such contexts, we propose a computational model that extends stochastic optimal control…
Zheping Yan, Jiyun Li, Gengshi Zhang, Yi Wu
A novel real-time reaction obstacle avoidance algorithm (RRA) is proposed for autonomous underwater vehicles (AUVs) that must adapt to unknown complex terrains, based on forward looking sonar (FLS). To accomplish this algorithm, obstacle avoidance rules are planned, and the RRA processes are split into five steps…
Long Di, Naiwei Huang, Jiaqi He, Xuxiang Wu + 4 more
'Yongbin Su' 'Tundong Liu' 'Zeashan Hameed Khan'] Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. This paper proposes a…
Asher Stern, Zvi Shiller
— This paper introduces a novel approach for robot navigation in challenging dynamic environments. The proposed method builds upon the concept of Velocity Obstacles (VO) that was later extended to Nonlinear Velocity Obstacles (NLVO) to account for obstacles moving along nonlinear trajectories. The NLVO is extended in…
Zoltán Gyenes, Ladislau Bölöni, Emese Gincsainé Szádeczky-Kardoss, Adam Ziębiński
'Adam Ziębiński'] Despite significant progress in robot hardware, the number of mobile robots deployed in public spaces remains low. One of the challenges hindering a wider deployment is that even if a robot can build a map of the environment, for instance through the use of LiDAR sensors, it also needs to calculate…
Asher Stern, Zvi Shiller
— This paper addresses the issue of motion planning in dynamic environments by extending the concept of Velocity Obstacle (VO) [1] and Nonlinear Velocity Obstacle (NLVO) [2] to Acceleration Obstacle (AO) and Nonlinear Acceleration Obstacle (NAO). Similarly to VO and NLVO, the AOand NAO represent the set of colliding…
Hideki Tamura, Tatsuto Yamauchi, Shigeki Nakauchi, Tetsuto Minami
As urban development toward smart cities continues in earnest, pedestrians’ chances of encountering autonomous mobile robots (AMRs) on the street increase. Although recent studies have discussed how humans avoid collisions with others when passing them, it is still unclear how they would avoid AMRs, which could be…
Krzysztof Chalupka, Michael Dickinson, Pietro Perona
Brains and sensory systems evolved to guide motion. Central to this task is controlling the approach to stationary obstacles and detecting moving organisms. Looming has been proposed as the main monocular visual cue for detecting the approach of other animals and avoiding collisions with stationary obstacles. Elegant…
P. S. Naga Jyotish, Yash Goel, Amit Kumar, K. Madhava Krishna
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 system. It focuses on computing collision free maneuvers without any…
Muhammad Umair Shafiq, Abid Imran, Sajjad Maznoor, Afraz Hussain Majeed + 3 more
'Afraz Hussain Majeed' 'Bilal Ahmed' 'Ilyas Khan' 'Abdullah Mohamed'] Path planning and control of a mobile robot, in a dynamic environment, has been an important research topic for many years. In this paper an algorithm for autonomous motion of a mobile robot is proposed, with mecanum wheels, to reach a goal while…
Mohammadamin Nikmanesh, Michael E. Cinelli, Daniel S. Marigold
Busy walking paths, like in a park, a sidewalk in a city centre, or a shopping mall, frequently necessitate collision avoidance behaviour. Lab-based research has shown how a variety of situation-specific factors (e.g., distraction, object/pedestrian proximity) and person-specific factors (e.g., pedestrian size, age)…
Muhammad Zohaib, Syed Mustafa Pasha, Nadeem Javaid, Jamshed Iqbal
This research proposed an intelligent obstacle avoidance algorithm to navigate an autonomous mobile robot. The presented Intelligent Bug Algorithm (IBA) over performs and reaches the goal in relatively less time as compared to existing Bug algorithms. The improved algorithm offers a goal oriented strategy by following…
Authors not listed
This research presents a novel approach to obstacle detection during navigation using a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The primary objective is to generate accurate image captions that describe the content of images, which is crucial for applications such…
Senthil Hariharan Arul, Jong Jin Park, Dinesh Manocha
— We present an algorithm for safe robot navigation in complex dynamic environments using a variant of model predictive equilibrium point control. We use an optimization formulation to navigate robots gracefully in dynamic environments by optimizing over a trajectory cost function at each timestep. We present a novel…
Lukas Küng, Silvan Aeschlimann, Charithea Charalambous, Fergus McIlwaine + 8 more
Direct air carbon capture and storage (DACCS) involves a set of approaches for capturing CO2 directly from the air and its subsequent long-term storage. DACCS is at an early stage of technical development and currently faces a variety of challenges, including high cost and energy requirements. Building on publicly…
Lukas Küng, Silvan Aeschlimann, Charithea Charalambous, Fergus McIlwaine + 8 more
Direct air carbon capture and storage (DACCS) involves a set of approaches for capturing CO2 directly from the air and its subsequent long-term storage. DACCS is at an early stage of technical development and currently faces a variety of challenges, including high cost and energy requirements. Building on publicly…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…