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Transfer of objects between humans and robots is a critical capability for collaborative robots. Although there has been a recent surge of interest in human-robot handovers, most prior research focus on robot-to-human handovers. Further,…

Robotics · Computer Science 2020-03-16 Wei Yang , Chris Paxton , Maya Cakmak , Dieter Fox

This paper addresses two intertwined needs for collaborative robots operating in shop-floor environments. The first is the ability to perform complex manipulation operations, such as those on articulated or even flexible objects, in a way…

Deep learning-based robotic grasping has made significant progress thanks to algorithmic improvements and increased data availability. However, state-of-the-art models are often trained on as few as hundreds or thousands of unique object…

Locomotion for legged robots poses considerable challenges when confronted by obstacles and adverse environments. Footstep planners are typically only designed for one mode of locomotion, but traversing unfavorable environments may require…

Robotics · Computer Science 2016-08-15 Michael X. Grey , Aaron D. Ames , C. Karen Liu

Planning dual-arm assembly of more than three objects is a challenging Task and Motion Planning (TAMP) problem. The assembly planner shall consider not only the pose constraints of objects and robots, but also the gravitational constraints…

Robotics · Computer Science 2019-03-05 Ryota Moriyama , Weiwei Wan , Kensuke Harada

During complex object manipulation, manipulator systems often face the configuration disconnectivity problem due to closed-chain constraints. Although regrasping can be adopted to get a piecewise connected manipulation, it is a challenging…

Robotics · Computer Science 2024-10-28 Wenhang Liu , Meng Ren , Kun Song , Michael Yu Wang , Zhenhua Xiong

Autonomous multi-finger grasping is a fundamental capability in robotic manipulation. Optimization-based approaches show strong performance, but tend to be sensitive to initialization and are potentially time-consuming. As an alternative,…

Robotics · Computer Science 2025-09-16 Martin Matak , Mohanraj Devendran Shanthi , Karl Van Wyk , Tucker Hermans

In this work, we describe a multi-object grasping benchmark to evaluate the grasping and manipulation capabilities of robotic systems in both pile and surface scenarios. The benchmark introduces three robot multi-object grasping…

Motion planning for a multi-limbed climbing robot must consider the robot's posture, joint torques, and how it uses contact forces to interact with its environment. This paper focuses on motion planning for a robot that uses nontraditional…

In this paper, we examine the problem of rearranging many objects on a tabletop in a cluttered setting using overhand grasps. Efficient solutions for the problem, which capture a common task that we solve on a daily basis, are essential in…

Robotics · Computer Science 2021-10-26 Kai Gao , Darren Lau , Baichuan Huang , Kostas E. Bekris , Jingjin Yu

Dexterous in-hand manipulation in robotics, particularly with multi-fingered robotic hands, poses significant challenges due to the intricate avoidance of collisions among fingers and the object being manipulated. Collision-free paths for…

Robotics · Computer Science 2024-07-09 Xiao Gao , Kunpeng Yao , Farshad Khadivar , Aude Billard

Recent work in robotic manipulation focuses on object retrieval in cluttered spaces under occlusion. Nevertheless, the majority of efforts lack an analysis of conditions for the completeness of the approaches or the methods apply only when…

Robotics · Computer Science 2022-09-22 Yinglong Miao , Rui Wang , Kostas Bekris

This paper presents the first active object mapping framework for complex robotic manipulation and autonomous perception tasks. The framework is built on an object SLAM system integrated with a simultaneous multi-object pose estimation…

Robotics · Computer Science 2022-01-11 Yanmin Wu , Yunzhou Zhang , Delong Zhu , Xin Chen , Sonya Coleman , Wenkai Sun , Xinggang Hu , Zhiqiang Deng

Viewpoint planning is an important task in any application where objects or scenes need to be viewed from different angles to achieve sufficient coverage. The mapping of confined spaces such as shelves is an especially challenging task…

Robotics · Computer Science 2023-07-25 Nils Dengler , Sicong Pan , Vamsi Kalagaturu , Rohit Menon , Murad Dawood , Maren Bennewitz

In robotic grasping, objects are often occluded in ungraspable configurations such that no pregrasp pose can be found, eg large flat boxes on the table that can only be grasped from the side. Inspired by humans' bimanual manipulation, eg…

Robotics · Computer Science 2020-02-18 Zhaole Sun , Kai Yuan , Wenbin Hu , Chuanyu Yang , Zhibin Li

Robot grasping of desktop object is widely used in intelligent manufacturing, logistics, and agriculture.Although vision-language models (VLMs) show strong potential for robotic manipulation, their deployment in low-level grasping faces key…

Robotics · Computer Science 2026-04-14 Yiran Ling , Wenxuan Li , Siying Dong , Yize Zhang , Xiaoyao Huang , Jing Jiang , Ruonan Li , Jie Liu

Objects we interact with and manipulate often share similar parts, such as handles, that allow us to transfer our actions flexibly due to their shared functionality. This work addresses the problem of transferring a grasp experience or a…

Robotics · Computer Science 2023-08-21 Ahmet Tekden , Marc Peter Deisenroth , Yasemin Bekiroglu

Traversing environments with arbitrary obstacles poses significant challenges for bipedal robots. In some cases, whole body motions may be necessary to maneuver around an obstacle, but most existing footstep planners can only select from a…

Robotics · Computer Science 2017-03-22 Michael X. Grey , Aaron D. Ames , C. Karen Liu

Object rearrangement is a fundamental problem in robotics with various practical applications ranging from managing warehouses to cleaning and organizing home kitchens. While existing research has primarily focused on single-agent…

Robotics · Computer Science 2023-11-07 Vivek Gupta , Praphpreet Dhir , Jeegn Dani , Ahmed H. Qureshi

In manipulation tasks, a robot interacts with movable object(s). The configuration space in manipulation planning is thus the Cartesian product of the configuration space of the robot with those of the movable objects. It is the complex…

Robotics · Computer Science 2015-12-18 Puttichai Lertkultanon , Quang-Cuong Pham
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