Reprint

Trends and Challenges in Robotic Applications

Edited by
August 2023
604 pages
  • ISBN978-3-0365-8634-2 (Hardback)
  • ISBN978-3-0365-8635-9 (PDF)

This is a Reprint of the Special Issue Trends and Challenges in Robotic Applications that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

Research performed on robotic applications has significantly expanded in the last decade, and currently, robotic systems are being utilized for many purposes. To achieve this generalized application of robots, researchers have endeavoured to study a wide variety of methods and algorithms in order to properly employ robotic systems in many real-life scenarios. At present, many types of robotic platforms are being employed in various applications, e.g., dual-arm robots, parallel robots, mobile robots, humanoid robots, aerial robots, underwater robots, and micro/nano robots. Moreover, some theoretical tools are specially being used to obtain correct robot performance, e.g., machine learning, artificial intelligence, multi-agent systems, and control and planning theory. The purpose of this reprint is to exhibit the current state of robotic applications. In particular, in addition to introducing novel theories and methods, this reprint is particularly focused on the application of robotic systems in real-life situations. Thus, the presentation of experimental results makes evident the feasibility and usefulness of robotic systems in practical cases. Obviously, this reprint does not intend to exhaustively demonstrate all the current existing robotic applications but rather give an overview of them, revealing the high level of activity in this area. This reprint contains an Editorial, together with 30 contributions in total from countries all around the world, addressing a broad range of robotic applications.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
6D pose estimation; learning-based approach; 2D-information-based approach; 3D-information-based approach; textureless and reflective objects; foreground occlusion; background clutter; automated parking system; fuzzy comprehension evaluation; Floyd algorithm; human-operated vehicle; autonomous vehicle; agriculture; cooperative robots; key technology; control; humanoid and bipedal locomotion; legged robots; passive walking; foot placement estimation; nonprehensile manipulation; robotic batting; high-speed object manipulation; ball recognition; trajectory estimation; motion control; weighted least square; mobile robot; formation; motion coordination; attitude observer; trajectory tracking; path tracking; compliance control; human–robot interaction; sliding mode controller; manual guidance; path planning; pure pursuit controller; trajectory tracking; deep learning; robot kidnapping detection; autonomous navigation; topological mapping; field robotics; mining automation; robotic assembly; deep neural networks; peg-in-hole; dual-arm; human–robot collaboration; assembly task; user studies; user preferences; quality of task execution; usability; autonomous loading system; field robotics; mining automation; manipulator motion planning; manipulability; stochastic planner; robotics; service robots; human–robot interaction; healthcare robots; robot-as-a-service; smart cities; AGV; AMR; industrial robots; collaborative robots; machine learning in robotics; computer vision; system identification; flapping-wing micro air vehicle; longitudinal mode; model refinement; gray box model; onboard sensors; robot calibration; robot remastering; calibration uncertainty; part probing; uncertainty reduction; sensor feedback; nanoelectromechanical system (NEMS); nanorobots; ion channel Kv10.1; mathematical modeling; system identification; control algorithm; pose estimation; robotics; 3D reconstruction; charuco cuboid; pediatric stroke; robotics; upper limb; hand rehabilitation; device; Gloreha Sinfonia; case report; robot system; augmented reality; robot teleoperation; face recognition; face tracking; face detection; face alignment; person identification; human–robot interaction; intelligent robots; interactive systems; time-of-flight; lidar; field of view redirection; passive redirection; clean mirror; dusted mirror; prism; robot-assisted laparoscopic surgery; surgical robot; da Vinci Research Kit; IoT; multiple object tracking; MOT; self-driving; autonomous vehicle; autonomous navigation; SLAM; KITTI; MOTChallenges; MOT15; MOT16; MOT17; UA_DETRAC; symmetry; sit-to-stand; elevation angle; coordination; backpropagation; optimization methods; inverse kinematics; robotics; bipedal robot; bio-inspired design; simulation; model-based design; LIPM; passive walker; Unmanned aerial vehicles (UAVs); detection technologies; radio frequency-based (RF); radar; acoustic; electro optical; hybrid fusion; controller detection; bird song; soundscape; ecoacoustics; sound source localization; robot audition; HARK; n/a