scispace - formally typeset
Search or ask a question

Answers from top 9 papers

More filters
Papers (9)Insight
Book ChapterDOI
20 Sep 2004
21 Citations
In addition, the robot has some advantages as the home service robot for the general use.
This robot is useful in solving maintenance problems in power systems.
In addition, the average power consumption of the robot is much lower than that of traditional flying robots for power line inspection.
This is the first study in the autonomous mobile robot field to add multi-robot cooperation capabilities to such a large fleet of robots.
It is much easier to carry the robot to a disaster site than moving the special construction machine.
Journal ArticleDOI
Ning Xi, Yongliang Yang 
01 Jun 2015-HKIE Transactions
4 Citations
It is essential to obtain such know-how in order to overcome this obstacle and bring the Chinese robot industry to the next level.
In this paper, we propose a novel kind of wheeled mobile robot, called “trident snake robot”.
Proceedings ArticleDOI
Yuandong Sun, Huihuan Qian, Yangsheng Xu 
06 Nov 2014
28 Citations
This approach is independent of the robot and is compatible with any robot with six or more degrees of freedom.
This is how we can use this robot in different fields as well as for research purpose by further manipulation in programming it can be modified accordingly.

See what other people are reading

How implement multi-task reinforcement learning on particle accelerator control ’?
5 answers
To implement multi-task reinforcement learning on particle accelerator control, researchers have explored various approaches. One method involves utilizing Deep Reinforcement Learning (DRL) algorithms to learn optimal policies for control tasks. Additionally, continuous model-free reinforcement learning with up to 16 degrees of freedom has been successfully tested at CERN facilities for trajectory steering in particle accelerators. Moreover, a comparison between model-based and model-free reinforcement learning on intensity optimization at the FERMI FEL system showed that model-based methods offer higher sample efficiency and representational power, while model-free methods exhibit slightly superior asymptotic performance. These studies highlight the potential of reinforcement learning techniques in enhancing the efficiency and performance of particle accelerator control systems.
Which AI tools can be used with children?
4 answers
AI tools that can be effectively utilized with children include Voice User Interfaces (VUIs) for early childhood language learning, high-fidelity prototypes for revealing children's needs and behaviors with AI-powered systems, social robots as guides for children in AI art generation to ensure safety and creativity, AI-assisted tools for addressing learning challenges in children with neurodevelopmental disorders (NDDs) to improve social interaction and supportive education, and AI models and tools for diagnosing and treating Attention Deficit Hyperactive Disorder (ADHD) in children with greater accuracy and precision using neural networks and EEG signals. These AI tools cater to various aspects of children's development, ranging from language learning and creativity to addressing mental health challenges and neurodevelopmental disorders.
What is backtrack in mobile robot SLAM?
5 answers
Backstepping in mobile robot SLAM refers to a control algorithm design technique used for trajectory tracking. This method focuses on developing robust output tracking controllers based on Lyapunov stability analysis to ensure accurate and stable tracking of trajectories in various conditions. Backstepping theory is relatively new in the field of mobile robot control, showing effectiveness in solving nonholonomic constraints and achieving satisfactory performance. The approach involves designing controllers that provide desired linear and angular velocities for the robot to follow a given trajectory, enhancing stability and accuracy in tracking errors. Overall, backstepping plays a crucial role in improving the trajectory tracking capabilities of mobile robots in SLAM applications.
Issues with delivery robots
5 answers
Delivery robots face several challenges highlighted in the research papers. One major issue is the difficulty in climbing curbs and stairs, especially for six-wheeled robots, due to inadequate mechanisms. Another challenge is ensuring secure last-mile delivery, which is addressed through AI-driven systems incorporating user authentication and identification modules for accurate and safe parcel delivery. Autonomous outdoor delivery robots encounter obstacles and environmental conditions, necessitating robust localization, safe navigation, and effective path planning strategies to navigate dynamic outdoor environments successfully. Moreover, energy supply during abnormal conditions like disasters is critical for uninterrupted robot operation, leading to the exploration of various power sources such as direct energy, solar energy, and flywheel storage energy for continuous delivery services.
What age group is mostly researched in AI?
5 answers
Research on AI involves various age groups, with a focus on different aspects. Studies have explored attitudes towards AI interaction in different age groups, particularly comparing those over and under 30 years old, revealing that currently, both age groups exhibit similar perceptions towards AI. Additionally, research has delved into the perspectives of children and youths aged 10 to 17 regarding health AI in research and clinical care, showing a positive view and willingness to engage with AI technologies. Furthermore, a study on strong AI technology acceptance concentrated on individuals in their early 20s, indicating less objection to advanced devices and providing insights into attitudes towards future AI environments. Overall, research in AI encompasses a broad spectrum of age groups, each contributing valuable insights into the interaction, acceptance, and utilization of AI technologies.
What are the main barriers to the adoption of robotics in warehouse logistics?
4 answers
The main barriers to the adoption of robotics in warehouse logistics include the lack of top management support, legal and regulatory frameworks, infrastructure challenges, resistance to change, and difficulties in handling single products rather than boxes. These barriers hinder the successful implementation of disruptive technologies in the logistics sector. Additionally, traditional programs lacking flexibility and human auto-following techniques struggling with target identification and obstacle avoidance pose challenges in utilizing robots effectively for warehouse tasks. Furthermore, the gap in understanding the benefits and barriers of Industry 4.0 technologies in warehouse management highlights the need for adequate financial support and new skills for successful implementation.
What are the positive impact of Advanced passenger comfort technologies in terms of Enhanced Comfort for Passengers?
5 answers
Advanced passenger comfort technologies have a significant positive impact on enhancing comfort for passengers across various modes of transportation. These technologies include soft robotic modules integrated into seat cushions for improved sitting comfort, autonomous vehicles with optimized handling criteria and path profiles for increased comfort levels, and the development of automation using machine learning models to determine ride-comfort levels on mobile phones. By focusing on factors like pressure distribution, postural variation, and optimal vehicle trajectories, these technologies aim to provide passengers with a more comfortable and enjoyable travel experience. Additionally, the integration of human factor considerations in the design of intelligent transport systems infrastructure further emphasizes the importance of passenger comfort in transportation technology.
Does a serious games can be utilized even during leisure time for training?
5 answers
Serious games have shown potential for training purposes beyond traditional therapy sessions, extending to leisure time activities. These games, designed for various rehabilitation contexts like myoelectric prosthesis training, stroke rehabilitation, and skill development in persons with developmental disabilities, offer benefits such as increased motivation, engagement, and skill enhancement. They incorporate elements like immediate feedback, repetition, and interactive experiences to make training enjoyable and effective. Moreover, serious games combined with cable-driven robots have been successful in bimanual rehabilitation, enhancing user acceptance and engagement. Therefore, utilizing serious games during leisure time can not only provide a fun and engaging way to train but also contribute to skill development and rehabilitation progress, making them a valuable resource for continuous improvement outside formal therapy sessions.
What are the uses of evolutionary algorithms in robotics ?
4 answers
Evolutionary algorithms play a crucial role in robotics, particularly in areas such as robot locomotion, route planning, and controller evolution. These algorithms, inspired by natural evolution and genetics, are utilized to optimize robot behaviors and designs. In robot locomotion, evolutionary algorithms aid in evolving controllers that adapt to variable conditions, ensuring robust performance. Additionally, these algorithms are instrumental in mobile robot route planning, helping robots navigate environments efficiently by finding optimal paths while considering various constraints and obstacles. Moreover, evolutionary algorithms enable the automated design of robots, optimizing their structures to exhibit desired behaviors rapidly and effectively. Overall, evolutionary algorithms enhance the capabilities of robots in diverse applications, ranging from search and rescue to transportation and beyond.
What is a hyperelastic material?
5 answers
A hyperelastic material is a type of material that exhibits nonlinear elastic behavior, commonly found in rubbers and elastomers. These materials can undergo significant deformations and return to their original shape when the load is removed, making them ideal for various applications like soft growing robots, mechanical systems, and engineering designs. Hyperelasticity is described through rigorous mathematical models that capture stress and strain relationships, allowing for accurate simulations and parameter identification. The properties of hyperelastic materials, such as bulging, shape-locking, and the ability to absorb shock and vibrations, make them versatile for different functionalities within a single structure. Overall, hyperelastic materials play a crucial role in modern engineering by providing unique mechanical characteristics and enabling innovative designs.
What are the investment opportunities in the robotics domain in the gulf countries?
5 answers
Investment opportunities in the robotics domain in the Gulf countries are promising. The Gulf region has seen advancements in robotic surgery, with Saudi Arabia being an early adopter in 2003. Additionally, there is a growing interest in using robots in construction projects. Artificial intelligence (AI) is also gaining traction in various sectors in the Gulf Cooperation Council economies. Moreover, there is a push towards implementing AI in human resources, particularly in recruitment processes, to enhance effectiveness and adapt to digital transformations. Furthermore, the application of robotics in education is being explored in the UAE, indicating a broader scope for robotics technology in diverse sectors. These trends suggest a fertile ground for investments in robotics across healthcare, construction, AI, HR, and education sectors in the Gulf countries.