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Machines that can predict the effect of physical interactions on the dynamics of previously unseen object instances are important for creating better robots and interactive virtual worlds. In this work, we focus on predicting the dynamics…

Computer Vision and Pattern Recognition · Computer Science 2020-01-20 Davis Rempe , Srinath Sridhar , He Wang , Leonidas J. Guibas

Human movement is goal-directed and influenced by the spatial layout of the objects in the scene. To plan future human motion, it is crucial to perceive the environment -- imagine how hard it is to navigate a new room with lights off.…

Computer Vision and Pattern Recognition · Computer Science 2020-08-03 Zhe Cao , Hang Gao , Karttikeya Mangalam , Qi-Zhi Cai , Minh Vo , Jitendra Malik

Reconstructing compositional 3D representations of scenes, where each object is represented with its own 3D model, is a highly desirable capability in robotics and augmented reality. However, most existing methods rely heavily on strong…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Vincent van der Brugge , Marc Pollefeys , Joshua B. Tenenbaum , Ayush Tewari , Krishna Murthy Jatavallabhula

Mobile manipulator throwing is a promising method to increase the flexibility and efficiency of dynamic manipulation in factories. Its major challenge is to efficiently plan a feasible throw under a wide set of task specifications. We show…

Robotics · Computer Science 2022-08-05 Yang Liu , Aradhana Nayak , Aude Billard

We tackle the problem of forecasting bimanual 3D hand motion & articulation from a single image in everyday settings. To address the lack of 3D hand annotations in diverse settings, we design an annotation pipeline consisting of a diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Aditya Prakash , David Forsyth , Saurabh Gupta

Robotic grasping of arbitrary objects even in completely known environments still remains a challenging problem. Most previously developed algorithms had focused on fingertip grasp, failing to solve the problem even for fully actuated…

Robotics · Computer Science 2019-07-23 IA Sainul , Sankha Deb , AK Deb

Planning motions for two robot arms to move an object collaboratively is a difficult problem, mainly because of the closed-chain constraint, which arises whenever two robot hands simultaneously grasp a single rigid object. In this paper, we…

Robotics · Computer Science 2017-05-09 Puttichai Lertkultanon , Quang-Cuong Pham

This work introduces PokeRRT, a novel motion planning algorithm that demonstrates poking as an effective non-prehensile manipulation skill to enable fast manipulation of objects and increase the size of a robot's reachable workspace. Our…

Robotics · Computer Science 2022-03-10 Anuj Pasricha , Yi-Shiuan Tung , Bradley Hayes , Alessandro Roncone

For soft continuum arms, visual servoing is a popular control strategy that relies on visual feedback to close the control loop. However, robust visual servoing is challenging as it requires reliable feature extraction from the image,…

Controlling humanoids in complex physically simulated worlds is a long-standing challenge with numerous applications in gaming, simulation, and visual content creation. In our setup, given a rich and complex 3D scene, the user provides a…

Artificial Intelligence · Computer Science 2024-06-27 Assaf Hallak , Gal Dalal , Chen Tessler , Kelly Guo , Shie Mannor , Gal Chechik

Mobile object tracking has an important role in the computer vision applications. In this paper, we use a tracked target-based taxonomy to present the object tracking algorithms. The tracked targets are divided into three categories: points…

Computer Vision and Pattern Recognition · Computer Science 2013-04-19 Duc Phu Chau , François Bremond , Monique Thonnat

3D motion tracking is a critical task in many computer vision applications. Existing 3D motion tracking techniques require either a great amount of knowledge on the target object or specific hardware. These requirements discourage the wide…

Computer Vision and Pattern Recognition · Computer Science 2011-11-21 Luis Quesada , Alejandro J. León

Extrinsic manipulation, a technique that enables robots to leverage extrinsic resources for object manipulation, presents practical yet challenging scenarios. Particularly in the context of extrinsic manipulation on a supporting plane,…

Robotics · Computer Science 2023-07-13 Peng Xu , Zhiyuan Chen , Jiankun Wang , Max Q. -H. Meng

After years of growth, drone-based delivery is transforming logistics. At its core, real-time 6-DoF drone pose tracking enables precise flight control and accurate drone landing. With the widespread availability of urban 3D maps, the Visual…

LiDAR is an important method for autonomous driving systems to sense the environment. The point clouds obtained by LiDAR typically exhibit sparse and irregular distribution, thus posing great challenges to the detection of 3D objects,…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Tai Wang , Xinge Zhu , Dahua Lin

Limited flight distance and time is a common problem for multicopters. We propose a method for finding the optimal speed and sideslip angle of a multicopter flying a given path to achieve either the longest flight distance or time. Since…

Robotics · Computer Science 2022-06-24 Xiangyu Wu , Jun Zeng , Andrea Tagliabue , Mark W. Mueller

This paper proposes a vision-based method for video sky replacement and harmonization, which can automatically generate realistic and dramatic sky backgrounds in videos with controllable styles. Different from previous sky editing methods…

Computer Vision and Pattern Recognition · Computer Science 2020-10-23 Zhengxia Zou

This paper presents an approach to in-hand manipulation planning that exploits the mechanics of alternating sticking contact. Particularly, we consider the problem of manipulating a grasped object using external pushes for which the pusher…

Robotics · Computer Science 2018-03-06 Nikhil Chavan-Dafle , Alberto Rodriguez

We present a novel technique to estimate the 6D pose of objects from single images where the 3D geometry of the object is only given approximately and not as a precise 3D model. To achieve this, we employ a dense 2D-to-3D correspondence…

Computer Vision and Pattern Recognition · Computer Science 2023-09-01 Maximilian Ulmer , Maximilian Durner , Martin Sundermeyer , Manuel Stoiber , Rudolph Triebel

The rise of Unmanned Aerial Vehicles and their increasing use in the cinema industry calls for the creation of dedicated tools. Though there is a range of techniques to automatically control drones for a variety of applications, none have…

Robotics · Computer Science 2017-12-13 Quentin Galvane , Julien Fleureau , Francois-Louis Tariolle , Philippe Guillotel