Embracing Contact: Pushing Multiple Objects with Robot's Forearm
Akansel Cosgun, Luke Ditria, Shayne D'Lima, Tom Drummond

TL;DR
This paper introduces a novel robot manipulation method that uses the robot's forearm to push multiple objects simultaneously, improving efficiency over traditional pick-and-place strategies.
Contribution
It presents a new approach leveraging nonprehensile pushing with the robot's forearm to handle multiple objects, enhancing manipulation capabilities beyond end-effector-only methods.
Findings
Greedy pushing strategy reduces task time by 28%
Using forearm pushes enables handling multiple objects simultaneously
Improves efficiency over traditional pick-and-place methods
Abstract
Grasping is the dominant approach for robot manipulation, but only a single object can be grasped at a time. Nonprehensile manipulation offers richer set of interactions, however state-of-the-art is limited to using the end-effector only. We propose using a robot link (forearm) to push multiple objects at once. In a simulated task where the robot's task is to sort two kinds of objects into their respective goal regions, we show that a greedy strategy that uses a combination of forearm pushes and pick and place operations reduces task completion time by %28 compared to picking and placing each object individually.
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Taxonomy
TopicsRobot Manipulation and Learning · Reinforcement Learning in Robotics · Robotic Path Planning Algorithms
