Comprehensive Review on Reaching and Grasping of Objects in Robotics
| Autor: | Shing Chyi Chua, Lee Chung Kwek, Qaid Mohammed Marwan |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Control and Optimization Computer science General Mathematics media_common.quotation_subject 02 engineering and technology Visual servoing law.invention 020901 industrial engineering & automation law Robustness (computer science) Human–computer interaction Perception Object type media_common business.industry Mechanical Engineering Robotics 021001 nanoscience & nanotechnology Robot end effector Object (computer science) Computer Science Applications Control and Systems Engineering Modeling and Simulation Robot Artificial intelligence 0210 nano-technology business Software |
| Zdroj: | Robotica. 39:1849-1882 |
| ISSN: | 1469-8668 0263-5747 |
| DOI: | 10.1017/s0263574721000023 |
| Popis: | SUMMARYInteraction between a robot and its environment requires perception about the environment, which helps the robot in making a clear decision about the object type and its location. After that, the end effector will be brought to the object’s location for grasping. There are many research studies on the reaching and grasping of objects using different techniques and mechanisms for increasing accuracy and robustness during grasping and reaching tasks. Thus, this paper presents an extensive review of research directions and topics of different approaches such as sensing, learning and gripping, which have been implemented within the current five years. |
| Databáze: | OpenAIRE |
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