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200 papers

Shape assembly composes complex shapes geometries by arranging simple part geometries and has wide applications in autonomous robotic assembly and CAD modeling. Existing works focus on geometry reasoning and neglect the actual physical…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Yichen Li , Kaichun Mo , Yueqi Duan , He Wang , Jiequan Zhang , Lin Shao , Wojciech Matusik , Leonidas Guibas

In this paper, we propose an adaptive keyframe selection method for improved 3D scene reconstruction in dynamic environments. The proposed method integrates two complementary modules: an error-based selection module utilizing photometric…

Robotics · Computer Science 2025-12-30 Raman Jha , Yang Zhou , Giuseppe Loianno

Robot manipulation in cluttered environments often requires complex and sequential rearrangement of multiple objects in order to achieve the desired reconfiguration of the target objects. Due to the sophisticated physical interactions…

Robotics · Computer Science 2022-08-05 Kejia Ren , Lydia E. Kavraki , Kaiyu Hang

Reconstructing articulated objects is essential for building digital twins of interactive environments. However, prior methods typically decouple geometry and motion by first reconstructing object shape in distinct states and then…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Licheng Shen , Saining Zhang , Honghan Li , Peilin Yang , Zihao Huang , Zongzheng Zhang , Hao Zhao

We propose ArtiLatent, a generative framework that synthesizes human-made 3D objects with fine-grained geometry, accurate articulation, and realistic appearance. Our approach jointly models part geometry and articulation dynamics by…

Computer Vision and Pattern Recognition · Computer Science 2025-10-27 Honghua Chen , Yushi Lan , Yongwei Chen , Xingang Pan

We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to different configurations of an articulated object. The…

Computer Vision and Pattern Recognition · Computer Science 2012-07-19 Dragomir Anguelov , Daphne Koller , Hoi-Cheung Pang , Praveen Srinivasan , Sebastian Thrun

Generalizable articulated object manipulation is essential for home-assistant robots. Recent efforts focus on imitation learning from demonstrations or reinforcement learning in simulation, however, due to the prohibitive costs of…

Robotics · Computer Science 2024-02-22 Wenke Xia , Dong Wang , Xincheng Pang , Zhigang Wang , Bin Zhao , Di Hu , Xuelong Li

This paper presents a kinematic definition of a serialized Stewart platform designed for autonomous in-space assembly called an Assembler. The Assemblers architecture describes problems inherent to the inverse kinematics of over-actuated…

Robotics · Computer Science 2020-03-30 William Chapin , Erik Komendera

Many functional elements of human homes and workplaces consist of rigid components which are connected through one or more sliding or rotating linkages. Examples include doors and drawers of cabinets and appliances; laptops; and swivel…

Robotics · Computer Science 2015-02-06 Sudeep Pillai , Matthew R. Walter , Seth Teller

Solving the inverse kinematics problem is a fundamental challenge in motion planning, control, and calibration for articulated robots. Kinematic models for these robots are typically parametrized by joint angles, generating a complicated…

Robotics · Computer Science 2023-12-12 Filip Marić , Matthew Giamou , Adam W. Hall , Soroush Khoubyarian , Ivan Petrović , Jonathan Kelly

Next generation robots will need to understand intricate and articulated objects as they cooperate in human environments. To do so, these robots will need to move beyond their current abilities--- working with relatively simple objects in a…

Computer Vision and Pattern Recognition · Computer Science 2018-03-30 Abhishek Venkataraman , Brent Griffin , Jason J. Corso

Generating articulated objects, such as laptops and microwaves, is a crucial yet challenging task with extensive applications in Embodied AI and AR/VR. Current image-to-3D methods primarily focus on surface geometry and texture, neglecting…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Ruijie Lu , Yu Liu , Jiaxiang Tang , Junfeng Ni , Yuxiang Wang , Diwen Wan , Gang Zeng , Yixin Chen , Siyuan Huang

We address the challenge of generating 3D articulated objects in a controllable fashion. Currently, modeling articulated 3D objects is either achieved through laborious manual authoring, or using methods from prior work that are hard to…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Jiayi Liu , Hou In Ivan Tam , Ali Mahdavi-Amiri , Manolis Savva

We consider the problem of estimating a parametric model of 3D human mesh from a single image. While there has been substantial recent progress in this area with direct regression of model parameters, these methods only implicitly exploit…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Georgios Georgakis , Ren Li , Srikrishna Karanam , Terrence Chen , Jana Kosecka , Ziyan Wu

Acquiring 3D geometry of real world objects has various applications in 3D digitization, such as navigation and content generation in virtual environments. Image remains one of the most popular media for such visual tasks due to its…

Computer Vision and Pattern Recognition · Computer Science 2017-01-26 Shuai Du , Youyi Zheng

Large-scale articulated objects with high quality are desperately needed for multiple tasks related to embodied AI. Most existing methods for creating articulated objects are either data-driven or simulation based, which are limited by the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Xinyu Lian , Zichao Yu , Ruiming Liang , Yitong Wang , Li Ray Luo , Kaixu Chen , Yuanzhen Zhou , Qihong Tang , Xudong Xu , Zhaoyang Lyu , Bo Dai , Jiangmiao Pang

We address the challenge of creating 3D assets for household articulated objects from a single image. Prior work on articulated object creation either requires multi-view multi-state input, or only allows coarse control over the generation…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Jiayi Liu , Denys Iliash , Angel X. Chang , Manolis Savva , Ali Mahdavi-Amiri

Automated assembly of 3D fractures is essential in orthopedics, archaeology, and our daily life. This paper presents Jigsaw, a novel framework for assembling physically broken 3D objects from multiple pieces. Our approach leverages…

Computer Vision and Pattern Recognition · Computer Science 2023-10-30 Jiaxin Lu , Yifan Sun , Qixing Huang

This work casts the kinodynamic planning problem for car-like vehicles as an optimization task to compute a minimum-time trajectory and its associated velocity profile, subject to boundary conditions on velocity, acceleration, and steering.…

Robotics · Computer Science 2025-08-25 Otobong Jerome , Alexandr Klimchik , Alexander Maloletov , Geesara Kulathunga

Metaheuristic algorithms, widely used for solving complex non-convex and non-differentiable optimization problems, often lack a solid mathematical foundation. In this review, we explore how concepts and methods from kinetic theory can offer…

Optimization and Control · Mathematics 2024-10-15 Giacomo Borghi , Michael Herty , Lorenzo Pareschi