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In robots, nonprehensile manipulation operations such as pushing are a useful way of moving large, heavy or unwieldy objects, moving multiple objects at once, or reducing uncertainty in the location or pose of objects. In this study, we…

机器人学 · 计算机科学 2021-08-03 John Lloyd , Nathan F. Lepora

Humans perceive the world by interacting with objects, which often happens in a dynamic way. For example, a human would shake a bottle to guess its content. However, it remains a challenge for robots to understand many dynamic signals…

机器人学 · 计算机科学 2022-05-19 Hung-Jui Huang , Xiaofeng Guo , Wenzhen Yuan

Object pose estimation methods allow finding locations of objects in unstructured environments. This is a highly desired skill for autonomous robot manipulation as robots need to estimate the precise poses of the objects in order to…

机器人学 · 计算机科学 2022-03-22 Tarik Kelestemur , Robert Platt , Taskin Padir

In this paper, we address the problem of estimating the in-hand 6D pose of an object in contact with multiple vision-based tactile sensors. We reason on the possible spatial configurations of the sensors along the object surface.…

机器人学 · 计算机科学 2023-02-01 Gabriele M. Caddeo , Nicola A. Piga , Fabrizio Bottarel , Lorenzo Natale

Placing is a necessary skill for a personal robot to have in order to perform tasks such as arranging objects in a disorganized room. The object placements should not only be stable but also be in their semantically preferred placing areas…

机器人学 · 计算机科学 2012-02-09 Yun Jiang , Marcus Lim , Changxi Zheng , Ashutosh Saxena

Adding tactile sensors to a robotic system is becoming a common practice to achieve more complex manipulation skills than those robotics systems that only use external cameras to manipulate objects. The key of tactile sensors is that they…

机器人学 · 计算机科学 2023-05-09 Julio Castaño-Amoros , Pablo Gil

Knowledge of the 6D pose of an object can benefit in-hand object manipulation. In-hand 6D object pose estimation is challenging because of heavy occlusion produced by the robot's grippers, which can have an adverse effect on methods that…

When carrying out robotic manipulation tasks, objects occasionally fall as a result of the rotation caused by slippage. This can be prevented by obtaining tactile information that provides better knowledge on the physical properties of the…

机器人学 · 计算机科学 2024-01-19 Julio Castaño , Pablo Gil

The ability to place objects in the environment is an important skill for a personal robot. An object should not only be placed stably, but should also be placed in its preferred location/orientation. For instance, a plate is preferred to…

机器人学 · 计算机科学 2015-03-19 Yun Jiang , Changxi Zheng , Marcus Lim , Ashutosh Saxena

Tactile sensing is important for robots to perceive the world as it captures the texture and hardness of the object in contact and is robust to illumination and colour variances. However, due to the limited sensing area and the resistance…

机器人学 · 计算机科学 2021-03-02 Guanqun Cao , Jiaqi Jiang , Chen Lu , Daniel Fernandes Gomes , Shan Luo

When manipulating an object to accomplish complex tasks, humans rely on both vision and touch to keep track of the object's 6D pose. However, most existing object pose tracking systems in robotics rely exclusively on visual signals, which…

计算机视觉与模式识别 · 计算机科学 2023-12-27 Yun Liu , Xiaomeng Xu , Weihang Chen , Haocheng Yuan , He Wang , Jing Xu , Rui Chen , Li Yi

The sense of touch plays a key role in enabling humans to understand and interact with surrounding environments. For robots, tactile sensing is also irreplaceable. While interacting with objects, tactile sensing provides useful information…

机器人学 · 计算机科学 2021-12-30 Jiaqi Jiang , Shan Luo

Much of the literature on robotic perception focuses on the visual modality. Vision provides a global observation of a scene, making it broadly useful. However, in the domain of robotic manipulation, vision alone can sometimes prove…

机器人学 · 计算机科学 2019-03-11 Justin Lin , Roberto Calandra , Sergey Levine

This paper proposes a novel active visuo-tactile based methodology wherein the accurate estimation of the time-invariant SE(3) pose of objects is considered for autonomous robotic manipulators. The robot equipped with tactile sensors on the…

机器人学 · 计算机科学 2021-08-10 Prajval Kumar Murali , Michael Gentner , Mohsen Kaboli

Tactile sensing is crucial for robots aiming to achieve human-level dexterity. Among tactile-dependent skills, tactile-based object tracking serves as the cornerstone for many tasks, including manipulation, in-hand manipulation, and 3D…

机器人学 · 计算机科学 2025-03-19 Hung-Jui Huang , Michael Kaess , Wenzhen Yuan

We use static object data to improve success detection for stacking objects on and nesting objects in one another. Such actions are necessary for certain robotics tasks, e.g., clearing a dining table or packing a warehouse bin. However,…

机器人学 · 计算机科学 2019-08-02 Rosario Scalise , Jesse Thomason , Yonatan Bisk , Siddhartha Srinivasa

Robotic manipulators navigating cluttered shelves or cabinets may find it challenging to avoid contact with obstacles. Indeed, rearranging obstacles may be necessary to access a target. Rather than planning explicit motions that place…

机器人学 · 计算机科学 2022-10-04 Rachel Thomasson , Etienne Roberge , Mark R. Cutkosky , Jean-Philippe Roberge

The perception and recognition of the surroundings is one of the essential tasks for a robot. With preliminary knowledge about a target object, it can perform various manipulation tasks such as rolling motion, palpation, and force control.…

Tactile sensing is used by humans when grasping to prevent us dropping objects. One key facet of tactile sensing is slip detection, which allows a gripper to know when a grasp is failing and take action to prevent an object being dropped.…

机器人学 · 计算机科学 2020-10-06 Jasper W. James , Nathan F. Lepora

Vision sensors are extensively used for localizing a robot's pose, particularly in environments where global localization tools such as GPS or motion capture systems are unavailable. In many visual navigation systems, localization is…

机器人学 · 计算机科学 2025-02-04 Dabin Kim , Inkyu Jang , Youngsoo Han , Sunwoo Hwang , H. Jin Kim