# Advanced Applications of Industrial Robotics: New Trends and Possibilities
## 3 Recent Achievements in Industrial Robotics Classified according to Implementation Area
### Medical Application
Such a system can improve the assessment of functional abilities in FCEs and functional rehabilitation by performing reaching manoeuvres or more complex tasks learned from an experienced therapist. Although this type of research is still in its infancy, robotics with integrated machine learning algorithms can improve the assessment of functional abilities [67]. Although the main task of robotic manipulators is the direct manipulation of objects or tools in medicine, these manipulators can also be used for therapeutic purposes for people with mental or physical disorders. Such applications are often limited by the ability to automatically perceive and respond as needed to maintain an engaging interaction. [PERSON] et al. presented a personalised deep learning framework that can adapt robot perception [68]. The researchers in the experiment focused on robot perception, for which they developed an individualised deep learning system that could automatically assess a patient's emotional states and level of engagement. This makes it easier to monitor treatment progress and optimise the interaction between the patient and the robot. Robotic technologies can also be applied in dentistry. To date, there has been a lack of implementation of fundamental ideas. In a comprehensive review of robotics and the application of artificial intelligence, [PERSON] et al. present numerous approaches to apply these technologies [69]. Robotic technologies in dentistry can be used for maxillofacial surgery [70], tooth preparation [71], testing of toothbrushes [72], root canal treatment and plaque removal [73], orthodontics and jaw movement [74], tooth arrangement for full dentures [75], X-ray imaging radiography [76], swab sampling [77], etc. A summary of research focused on robotics in medical applications is provided in Table 4. It can be seen that robots are still not very popular in this area, and technological and physiological/ethical factors can explain this. From the technical point of view, more active implementation is limited by the lack of fast and reliable robot program preparation methods. Regarding psychological and ethical factors, robots are still unreliable for a large portion of society. Therefore, they are only accepted with significant hesitation. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Objective** & **Technology** & **Approach** & **Improvement** & **Ref.** \\ \hline Create bridge between & Patient Side Manipulator & Reinforced learning, & \\ reinforcement learning and & (PSM) arm. & Reinforced learning, & \\ the surgical robotics & Da Vinci/R@surgical Robot. & OpenAI Cyp & Developed new reinforced learning & \\ communities by presenting & Large Neede Device (LND), & DDPG (Deep Deterministic Policy Gradients) and HER (Hinfsight & training of surgical da Vinci robots for \\ reinforcement learning & with a jaw gripper to grab & Experience Replay) & autonomous operations. \\ environments for surgical da & objects such as suturing & V-REP physics simulator & \\ Vinci robots. & needle. & & \\ \hline \hline A method of shared control & Brain–machine interface & & \\ where the user controls a & prosthetic arm using a & system. & Shared control system. & \\ brain–machine interface and & Robotic arm. & An autonomous robotic grasping & \\ receives assistance with & RGB–D camera mounted & system & accurate, more efficient, and less \\ positioning the hand when it & above the arm base. & & difficult than an alone control system. \\ approaches an object. & & & \\ \hline A personalised deep learning & Unobtrusive audiovisual & & \\ framework on adapt robot & sensors and wearable sensors, & \\ perception of children’s & providing the child’s & & \\ affective states and & heart-rate, skin-conductance & & \\ engagement to different & (EDA), body temperature, & & \\ cultures and individuals. & and accelerometer data. & & \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Robotic solutions in medical applications.