scispace - formally typeset
Search or ask a question

Answers from top 7 papers

More filters
Papers (7)Insight
The results imply that the workspace of the robot has been enhanced significantly by using the new design.
We believe that this robot has the potential to become a powerful tool for the research community to successfully navigate this turning point, as the humanoid robot HRP-2 was in its own time.
Experimental results show that the proposed robot has excellent performance.
As a result of this observation, a novel technique has been identified wherein ANNs are used as robot simulators.
The results show that the robot has a capability to complex assembly through skill acquisition.
Proceedings ArticleDOI
Yan Guo, Jiatong Bao, Aiguo Song 
18 Sep 2009
10 Citations
Experiment results in the building and field show that the robot could fit the requirement of the scene and is a efficient tools for the people who need to be in dangerous environment.
Proceedings ArticleDOI
E. Coste-Maniere, Reid Simmons 
24 Apr 2000
162 Citations
The paper, like the field itself, is somewhat preliminary, yet it is hoped that it will provide guidance for those who use, or develop, robot architectures.

See what other people are reading

How to design a diagnostic system for the electric vehicle battery disassembly ?
5 answers
What is the difference between ROS2 and ROS?
5 answers
ROS2, an extension of ROS, offers enhanced features for robotics applications. While ROS focuses on local robot connections, ROS2 expands to connect robots globally, emphasizing security, efficiency, and compatibility across different networks and physical locations. In contrast, ROS, particularly in the automotive sector, is compared to the Adaptive AUTOSAR Platform, highlighting ROS2's growing relevance in diverse applications beyond traditional robotics. Additionally, ROS2's versatility extends to simulators, acting as a universal interface for external devices, enhancing portability and reusability in simulator environments. Furthermore, ROS2's applicability extends to control systems for parallel robots, showcasing its role in trajectory tracking and rehabilitation applications. Overall, ROS2 builds upon ROS by offering advanced connectivity, security, and adaptability for a broader range of robotic and automotive applications.
What is ros2?
5 answers
ROS2, or Robot Operating System 2, is a scalable software architecture that leverages the Data Distribution Service (DDS) protocol for real-time operation, security, and performance enhancements. It addresses the lack of task management capabilities in ROS2, crucial for applications with multiple threads and processes, and simplifies the integration of new devices by providing a user-friendly programming interface. Additionally, ROS2 serves as a universal interface between external devices and simulators, enhancing portability and reusability of devices while expanding the simulator's capabilities. Furthermore, ROS2-based systems ensure Quality of Service (QoS) for latency-critical applications like remote surgery and driving by managing data flow scheduling and WiFi configurations.
Have AI walls been tested to detect vulnerabilities?
5 answers
AI has been utilized in testing walls for vulnerabilities. One approach involves combining AI with hammering testing to efficiently detect concrete wall flaking. Additionally, AI-based systems have been developed for detecting vulnerabilities in software applications. A two-stage solution using deep learning models like CNN and CNN-LTSM achieved high accuracy in detecting vulnerabilities in C/C++ source codes. Moreover, Machine Learning (ML) methods have been proposed to detect vulnerabilities in C/C++ applications, with Explainable AI (XAI) aiding in identifying vulnerable source code tokens and understanding their causes. The model achieved high F1-Scores in binary and multi-class vulnerability detection tasks, with Random Forest (RF) and Extreme Gradient Boosting (XGB) performing well as classifiers.
What are the benefits of using constraint-induced movement therapy for upper limb rehabilitation after stroke?
5 answers
Constraint-induced movement therapy (CIMT) has shown promising benefits for upper limb rehabilitation after stroke. Studies indicate that CIMT can significantly improve stroke symptoms, especially in chronic cases, with optimal protocols involving at least 6 hours of training per week and 6 hours of constraint per day. Additionally, CIMT has been found to enhance joint range of motion and functional use of the extremity in pediatric patients with obstetrical brachial plexus paralysis, showing greater improvement compared to traditional rehabilitation methods. However, it is noted that CIMT may not have a significant impact on functional upper limb performance when compared to conventional rehabilitation methods. Despite some inconsistencies in immobilization durations and methods, CIMT remains a valuable approach for upper limb rehabilitation post-stroke, offering notable improvements in motor function and overall functionality.
How to calculate the lenght of steps with xsens motion capture?
5 answers
To calculate the length of steps using Xsens motion capture, various methods can be employed. One approach involves utilizing the inertial motion-capture systems provided by Xsens to translate 3D kinematic data into ROS messages for robotics applications. Another method involves estimating step length based on wireless channel properties and the received signal strength indicator (RSSI) method, where path loss between two ankles is converted from RSSI measurements using wearable transceivers. Additionally, a robust step length estimation system called the Pose Invariant (PI) method can be utilized with ankle-mounted motion sensors, calculating step distance based on leg length and orientation change within each step. These methods offer accurate and diverse ways to calculate step lengths using Xsens motion capture technology.
What is the mechanism of flexible docking to be followed by rigid docking fulfilling the process of sequential docking?
4 answers
The mechanism of flexible docking followed by rigid docking in sequential docking processes involves utilizing innovative technologies to ensure successful and efficient spacecraft or robot connections. Initially, flexible docking mechanisms are employed to absorb energy, reduce disturbance, and enhance connection rigidity. Subsequently, rigid docking mechanisms are utilized to provide stability and precise alignment during the docking process. The integration of electromagnetic forces in the docking process enhances control and safety, overcoming nonlinearity and uncertainty challenges. Additionally, incorporating error-compensation capabilities in docking mechanisms improves the docking success rate and reduces dependency on manual intervention. Overall, the sequential docking process involves a combination of flexible and rigid docking mechanisms to achieve reliable and efficient spacecraft or robot connections.
What role do robotics play in enhancing patient safety and reducing radiation exposure during radiological procedures?
5 answers
Robotics play a crucial role in enhancing patient safety and reducing radiation exposure during radiological procedures. Studies comparing robotics and navigation for minimally invasive lumbar fusion surgeries have shown that robotics significantly reduce radiation exposure to both the surgeon and the patient. Additionally, robotic assistance in interventional radiology allows operators to perform procedures without direct exposure to X-rays, further minimizing radiation risks. Moreover, the use of passive robotic devices during fluoroscopy-guided arterial puncturing has demonstrated a substantial reduction in radiation exposure to the operating physician, leading to enhanced safety for both the medical staff and patients. By leveraging robotics, healthcare providers can improve patient outcomes while prioritizing safety and minimizing radiation-related risks.
How autism effects children?
5 answers
Autism spectrum disorder (ASD) significantly impacts children by affecting their ability to communicate, interact socially, and exhibit repetitive behaviors. Children with ASD may struggle with making eye contact, recognizing facial emotions, experiencing delays in learning, and facing challenges with motor skills and sensory activities. Moreover, individuals with ASD are at a higher risk of comorbid conditions such as depression, anxiety, sleep difficulties, and epilepsy. Research suggests that children with ASD may have difficulties in identifying ownership from linguistic cues and defending ownership rights, possibly due to differences in self-representation and reduced concern for ownership. The COVID-19 pandemic further exacerbates the challenges faced by children with autism, increasing their vulnerability to infections and disruptions in routine and support systems.
How does a robot carry an object to a humans position?
5 answers
A robot can carry an object to a human's position through various methods based on advanced technologies and interaction strategies. One approach involves implementing a robot-to-human object handover algorithm utilizing sensor modalities like joint torque sensors and RGB-D cameras for real-time feedback. This algorithm enables the robot to autonomously hand over objects to humans with high accuracy by detecting the human receiver's intentions and hand movements. Another method involves employing adaptive impedance control for human-robot co-transportation, where vision and force sensing are used to track the human hand position and interaction force during object transportation tasks. These techniques ensure safe and smooth interaction between humans and robots during object handovers, enhancing the overall efficiency and user experience in human-robot collaborations.
How much do people find robots scary or anxiety inducing?
5 answers
People's perceptions of robots vary based on their exposure and beliefs. Studies show that while some individuals experience anxiety around robots, others exhibit positive attitudes and are willing to interact with them. Factors influencing these perceptions include the size of the robot, with taller robots generally causing more anxiety in users. Additionally, individuals' beliefs about Artificial Intelligence (AI) can contribute to anxiety levels, with concerns ranging from fears of job replacement to worries about AI configurations. Surveys reveal that common narratives about AI often elicit significant anxiety among the public, with feelings of lack of control over AI's development being a prevalent concern. Overall, people's attitudes towards robots and AI are complex, influenced by various factors such as exposure, beliefs, and societal narratives.