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Humans excel in grasping objects through diverse and robust policies, many of which are so probabilistically rare that exploration-based learning methods hardly observe and learn. Inspired by the human learning process, we propose a method…

Robotics · Computer Science 2023-04-06 Chao Zhao , Chunli Jiang , Junhao Cai , Hongyu Yu , Michael Yu Wang , Qifeng Chen

Recognizing objects in dense clutter accurately plays an important role to a wide variety of robotic manipulation tasks including grasping, packing, rearranging and many others. However, conventional visual recognition models usually miss…

Robotics · Computer Science 2022-08-10 Zhenyu Wu , Ziwei Wang , Zibu Wei , Yi Wei , Haibin Yan

In this paper, we propose a object detection method expressed as rotated bounding box to solve grasping challenge in the scenes where rigid objects and soft objects are mixed together. Compared with traditional detection methods, this…

Robotics · Computer Science 2019-09-23 Xiaoman Wang , Xin Jiang , Jie Zhao , Shengfan Wang , Yunhui Liu

The majority of motion planning strategies developed over the literature for reaching an object in clutter are applied to two dimensional (2-d) space where the state space of the environment is constrained in one direction. Fewer works have…

Robotics · Computer Science 2022-10-31 Sariah Mghames , Marc Hanheide

We address the problem of visually guided rearrangement planning with many movable objects, i.e., finding a sequence of actions to move a set of objects from an initial arrangement to a desired one, while relying on visual inputs coming…

The guiding task of a mobile robot requires not only human-aware navigation, but also appropriate yet timely interaction for active instruction. State-of-the-art tour-guide models limit their socially-aware consideration to adapting to…

Robotics · Computer Science 2022-01-11 Muhan Hou , Zonghao Mu , Jing Li , Qizhi Yu , Jason Gu

This paper presents a robotic pick-and-place system that is capable of grasping and recognizing both known and novel objects in cluttered environments. The key new feature of the system is that it handles a wide range of object categories…

Object handover is an important skill that we use daily when interacting with other humans. To deploy robots in collaborative setting, like houses, being able to receive and handing over objects safely and efficiently becomes a crucial…

Robotics · Computer Science 2025-06-23 Daniel Frau-Alfaro , Julio Castaño-Amoros , Santiago Puente , Pablo Gil , Roberto Calandra

Multi-step dexterous manipulation is a fundamental skill in household scenarios, yet remains an underexplored area in robotics. This paper proposes a modular approach, where each step of the manipulation process is addressed with dedicated…

Pushing is a simple yet effective skill for robots to interact with and further change the environment. Related work has been mostly focused on utilizing it as a non-prehensile manipulation primitive for a robotic manipulator. However, it…

Robotics · Computer Science 2025-10-15 Zili Tang , Yuming Feng , Meng Guo

Robotic dual-arm twisting is a common but very challenging task in both industrial production and daily services, as it often requires dexterous collaboration, a large scale of end-effector rotating, and good adaptivity for object…

Robotics · Computer Science 2021-08-30 Weibang Bai , Ningshan Zhang , Baoru Huang , Ziwei Wang , Francesco Cursi , Ya-Yen Tsai , Bo Xiao , Eric Yeatman

Real-world manipulation problems in heavy clutter require robots to reason about potential contacts with objects in the environment. We focus on pick-and-place style tasks to retrieve a target object from a shelf where some `movable'…

Robotics · Computer Science 2023-03-24 Dhruv Mauria Saxena , Maxim Likhachev

When searching for objects in cluttered environments, it is often necessary to perform complex interactions in order to move occluding objects out of the way and fully reveal the object of interest and make it graspable. Due to the…

Efficient tabletop rearrangement remains challenging due to collisions and the need for temporary buffering when target poses are obstructed. Prehensile pick-and-place provides precise control but often requires extra moves, whereas…

Robotics · Computer Science 2026-02-17 Majid Sadeghinejad , Arman Barghi , Hamed Hosseini , Mehdi Tale Masouleh , Ahmad Kalhor

Rearrangement planning for object retrieval tasks from confined spaces is a challenging problem, primarily due to the lack of open space for robot motion and limited perception. Several traditional methods exist to solve object retrieval…

Robotics · Computer Science 2024-02-13 Hanwen Ren , Ahmed H. Qureshi

The intricate kinematics of the human hand enable simultaneous grasping and manipulation of multiple objects, essential for tasks such as object transfer and in-hand manipulation. Despite its significance, the domain of robotic multi-object…

Robotics · Computer Science 2024-03-15 Yuyang Li , Bo Liu , Yiran Geng , Puhao Li , Yaodong Yang , Yixin Zhu , Tengyu Liu , Siyuan Huang

Mobile robots hold great promise in reducing the need for humans to perform jobs such as vacuuming, seeding,harvesting, painting, search and rescue, and inspection. In practice, these tasks must often be done without an exact map of the…

Multiagent Systems · Computer Science 2020-02-12 Phillip Hyatt , Zachary Brock , Marc D. Killpack

While both navigation and manipulation are challenging topics in isolation, many tasks require the ability to both navigate and manipulate in concert. To this end, we propose a mobile manipulation system that leverages novel navigation and…

Articulated and flexible objects constitute a challenge for robot manipulation tasks but are present in different real-world settings, including home and industrial environments. Current approaches to the manipulation of articulated and…

Robotics · Computer Science 2018-01-16 Alessio Capitanelli , Marco Maratea , Fulvio Mastrogiovanni , Mauro Vallati

Robotic grasping in densely cluttered environments is challenging due to scarce collision-free grasp affordances. Non-prehensile actions can increase feasible grasps in cluttered environments, but most research focuses on single-arm rather…

Robotics · Computer Science 2025-04-03 Yongliang Wang , Hamidreza Kasaei