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Monitoring the State of Robotic Systems Based on Time Series Analysis
In view of the close integration of robotic systems into industrial and technological systems, critical infrastructure objects, as well as a...
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Machine learning methods for the industrial robotic systems security
The trends in the introduction of industrial and logistics robots into the social sphere of activity in order to ensure the safety of civilian...
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Analysing public sentiment towards robotic surgery: an X (formerly Twitter) based study
The surgical field is always evolving, as new techniques and tools are developed. Robotic technology has been playing an important role in surgical...
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A Comparative Study on Manipulator Development in Multi-robotic Systems
Robotic assembly of modular blocks has a great interest in multi-robotic studies in many disciplines. The existing studies primarily focus on...
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Accurate Robotic Grasp Detection with Angular Label Smoothing
Grasp detection is a visual recognition task where the robot makes use of its sensors to detect graspable objects in its environment. Despite the...
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Development of robotic hand tactile sensing system for distributed contact force sensing in robotic dexterous multimodal gras**
Perceiving distributed tactile information during robotic dexterous gras** process is essential to improve its intelligence and automation. This...
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Adaptive practical predefined-time neural tracking control for multi-joint uncertain robotic manipulators with input saturation
Predefined-time stability contributes to constraining the tracking time of robotic manipulators, but the stringent judgment conditions restrict its...
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Measuring the impact of haptic feedback in collaborative robotic scenarios
In recent years, the interaction of a human operator with teleoperated robotic systems has been much improved. One of the factors influencing this...
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Effective Skill Learning on Vascular Robotic Systems: Combining Offline and Online Reinforcement Learning
Vascular robotic systems, which have gained popularity in clinic, provide a platform for potentially semi-automated surgery. Reinforcement learning...
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Self-Triggered Secure Coordination of Networked Robotic Systems Under Asynchronous DoS Attacks
In this chapter, self-triggered distributed secure coordination control problem of networked robotic systems with event-triggered communication under...
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Securing the Future: Exploring Privacy Risks and Security Questions in Robotic Systems
The integration of artificial intelligence, especially large language models in robotics, has led to rapid advancements in the field. We are now...
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Dual modality prompt learning for visual question-grounded answering in robotic surgery
With recent advancements in robotic surgery, notable strides have been made in visual question answering (VQA). Existing VQA systems typically...
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The value of collision feedback in robotic surgical skills training
Collision feedback about instrument and environment interaction is often lacking in robotic surgery training devices. The PoLaRS virtual reality...
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Improving makespan in dynamic task scheduling for cloud robotic systems with time window constraints
A scheduling method in a robotic network cloud system with minimal makespan is beneficial as the system can complete all the tasks assigned to it in...
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Nonlinear Disturbance Observer-Based Continuous Fixed-time Tracking Control for Uncertain Robotic Systems
This paper proposes a nonlinear disturbance observer-based continuous fixed-time tracking control scheme for uncertain robotic systems. A nonlinear...
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Improved Model of Greedy Tasks Assignment in Distributed Robotic Systems
The problem of computations efficiency estimation is a topical one nowadays because of cost and various constraints, including energy consumption,...
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Temporal automata for robotic scenario modeling with CIT framework
Many approaches for designing robotic applications have been proposed in recent years. If they are relevant to the problem they solve, most of them...
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A Modified Convergence DDPG Algorithm for Robotic Manipulation
Today, robotic arms are widely used in industry. Reinforcement learning algorithms are used frequently for controlling robotic arms in complex...
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A bi-level optimization approach for joint rack sequencing and storage assignment in robotic mobile fulfillment systems
This paper studies a novel rack scheduling problem with multiple types of multiple storage locations (RS-MTMS), which can decide the retrieval...
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The viability of domain constrained coalition formation for robotic collectives
Applications, such as military and disaster response, can benefit from robotic collectives’ ability to perform multiple cooperative tasks (e.g.,...
