This work shows that perception and motion planning can enable a four-degree-of-freedom arm, a roughly $200 Waveshare RoArm-M2-S, under a fixed overhead camera to detect and color-sort writing utensils without that joint.
Abstract
Low-cost four-degree-of-freedom (DoF) arms are among the most accessible robotic platforms. But they are, in theory, underactuated for picking up in situations where objects are at arbitrary orientations, a task that appears to require five degrees of freedom: the planar position (x and y), the height (z), a wrist rotation to align the gripper with the object, and gripper actuation, of which a four-DoF arm lacks the wrist rotation. This work shows that perception and motion planning can enable such an arm, a roughly $200 Waveshare RoArm-M2-S, under a fixed overhead camera to detect and color-sort writing utensils without that joint. A YOLO11n-OBB (You Only Look Once, oriented bounding box) detector locates each writing utensil; camera intrinsics and an ArUco reference pose convert its pixel coordinates to robot coordinates; and a color classifier labels it. The detected orientation angle determines the motion strategy: utensils close to the arm's fixed approach direction are picked up directly, and those at steeper angles are reoriented via corrective sweeps until they are graspable, after which they are picked up and sorted into the assigned color bin. Across 326 logged motions on seven writing utensils, the arm made 196 direct grasps and 130 corrective sweep passes, correcting misalignments up to 90 degrees, suggesting that clever task-informed engineering can compensate for a missing degree of freedom on tasks like this one.
Robotic manipulation has increasingly pursued human-like dexterous hands with many articulated degrees of freedom, offering rich manipulation capabilities at the cost of mechanical and control complexity. At the other extreme, parallel grippers are simple and robust, but provide little ability to manipulate an object a...
Bo-Xi Xia, Bo-Kuan Li, Ryan Shin et al.· 0 citations
This letter proposes a three-degree-of-freedom (3-DoF) head stabilizer, defined as a compact camera-orientation stage mounted between the snake robot's head link and the onboard monocular camera, based on a coaxial spherical parallel manipulator (CSPM) to enable visual navigation. Visual navigation suits biologically-i...
Seunghyun Lim, Jinhyeok Song, S. Lee et al.· IEEE Robotics and Automation...· 0 citations
Perceiving objects in the environment is a fundamental capability of autonomous robots. In dark or low-light environments, external cameras often fail to reliably perceive object positions and geometry; when visual sensing is unavailable, completing target search, recognition, and grasping through touch alone becomes a...
Zong-Lin Li, Wan-Ruo Zhang, Yi-Ming Wang et al.· 0 citations
A reinforcement learning formulation is presented to solve in-hand assembly: mating two rigid objects within a single dexterous hand, with no second arm and no fixture, which shows robustness to state-estimation errors caused by oc- clusion.
Liu-Ao Pei, Tian-Yue Wu, Hui Zhang et al.· 1 citation
Cloth manipulation is a challenging task due to the deformable and high-dimensional nature of cloth, which leads to complex interaction dynamics and perceptual ambiguity arising from frequent occlusions of critical visual cues, such as folds, edges, and grasp points. In this work, we tackle cloth unfolding using a regr...
Domen Tabernik, Peter Nimac, Jan Jericevic et al.· IEEE Transactions on Cyberne...· 0 citations
This paper presents VLEG, an embodied vision-language grasping framework for quadruped manipulators that explicitly incorporates body motion into grasp decision making and guides the robot to continuously adjust its body pose during approach and optimize local observations before grasping, thereby improving perception...
Yu-Xing Ji, Fei Meng, Zishang Ji et al.· Journal of Physics, Conferen...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.