Abstract: In this work, we investigate how a state-of-the-art grasp planner based on deep reinforcement learning performs when applied to a soft–rigid gripper in a decluttering task. The gripper, called Soft ScoopGripper (SSG), is endowed with a rigid scoop-shaped part that facilitates the interaction with the environment and with objects. We hypothesize that the clever … [Read more...] about Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks: Gripper Design Boosts Learning
Grippers
The Developments and Challenges Toward Dexterous and Embodied Robotic Manipulation: A Survey
Abstract: OKAchieving humanlike dexterous robotic manipulation remains a central goal and a pivotal challenge in robotics. The development of artificial intelligence (AI) has allowed rapid progress in robotic manipulation. This article summarizes the evolution of robotic manipulation from mechanical programming to embodied intelligence, alongside the transition from simple … [Read more...] about The Developments and Challenges Toward Dexterous and Embodied Robotic Manipulation: A Survey
Robotic Grape Inspection and Selective Harvesting in Vineyards: A Multisensory Robotic System With Advanced Cognitive Capabilities
Driven by the increasing food demand and the need for higher-quality cultivation, precision agriculture grows steadily during the last decade. It involves the application of mobile robots and intelligent robotic technologies in various agricultural field tasks, concerning a variety of crop types. Aiming at compensating for the lack of selective robotic harvesting solutions … [Read more...] about Robotic Grape Inspection and Selective Harvesting in Vineyards: A Multisensory Robotic System With Advanced Cognitive Capabilities
Synthesis, Design, and Experimental Validation of an Agile Wrist for Enhanced Grasping and Manipulation in Cluttered Environments: An Experimental Evaluation With a Challenging Pick-and-Place Task
In many practical cases, such as in logistics applications, grasping and manipulation of objects must be carried out in confined spaces with obstacles. Limited room is then available to manoeuvre and robotic devices can lack dexterity or be impaired by their size when performing in such cluttered environments. In this paper, we address this issue by proposing a novel agile … [Read more...] about Synthesis, Design, and Experimental Validation of an Agile Wrist for Enhanced Grasping and Manipulation in Cluttered Environments: An Experimental Evaluation With a Challenging Pick-and-Place Task
SofToss: Learning to Throw Objects With a Soft Robot
In this paper, we present, for the first time, a soft robot control system (SofToss) capable of throwing life-size objects toward target positions. SofToss is an open-loop controller based on deep reinforcement learning that generates, given the target position, an actuation pattern for the tossing task. To deal with the high non-linearity of the dynamics of soft robots, we … [Read more...] about SofToss: Learning to Throw Objects With a Soft Robot
