This paper discusses about significance of object grasping research and its potential to bridge the gap between perception and ac- tion, enabling machines to perceive and understand their surroundings and perform physical interactions with objects. By advancing the state- of-the-art in object grasping, researchers aim to overcome challenges such as occlusions, cluttered environments, object variability, and uncertain sensory data. Effective object grasping algorithms and systems have the potential to revolutionize automation, robotics, and human-robot inter- action, leading to improved productivity, safety, and efficiency in various sectors.