23 papers · ranked by Valyu relevance
Cong Wang, Qifeng Zhang, Qiyan Tian, Shuo Li + 4 more
'David Lane' 'Yvan Petillot' 'Sen Wang'] Mobile manipulation has a broad range of applications in robotics. However, it is usually more challenging than fixed-base manipulation due to the complex coordination of a mobile base and a manipulator. Although recent works have demonstrated that deep reinforcement learning is…
Huaidong Zhou, Wusheng Chou, Wanchen Tuo, Yongfeng Rong + 1 more
Mobile manipulation, which has more flexibility than fixed-base manipulation, has always been an important topic in the field of robotics. However, for sophisticated operation in complex environments, efficient localization and dynamic tracking grasp still face enormous challenges. To address these challenges, this…
Zhenyu Wu, Yuheng Zhou, Xiuwei Xu, Ziwei Wang + 1 more
Mobile manipulation empowers robotics with the ability to perform complex manipulation tasks across large spaces, which requires the whole-body control for the mobile base and the arm . With the increasing popularity of intelligent robotic systems, several fields such as household service , manufacturing , and…
Jimmy Wu, Woo Suk Chong, Robert Holmberg, Aaditya Prasad + 5 more
Learning Authors: ['Jimmy Wu' 'Woo Suk Chong' 'Robert Holmberg' 'Aaditya Prasad' 'Yihuai Gao' 'Oussama Khatib' 'Shuran Song' 'Szymon Rusinkiewicz' 'Jeannette Bohg'] Abstract: Exploiting the promise of recent advances in imitation learning for mobile manipulation will require the collection of large numbers of…
Authors not listed
Mobile-based Robot. MobileManiBench employs two mobile-based robots: the G1 robot from AGIBOT [? ] and the XHand robot from RobotEra [[36]], as shown in Figure 1. Although both robots are equipped with dual arms, we fix the left arm and activate only the right arm for manipulation. Each robot has a 7-DOF right arm and…
Paul Issartel, Florimond Guéniat, Tobias Isenberg, Mehdi Ammi
—We examine a class of techniques for 3D object manipulation on mobile devices, in which the device's physical motion is applied to 3D objects displayed on the device itself. This "local coupling" between input and display creates specific challenges compared to manipulation techniques designed for monitor-based or…
Aitor Ibarguren, Paul Daelman, Abolfazl Zaraki, Hamed Rahimi Nohooji
Collaborative part transportation is an interesting application as many industrial sectors require moving large parts among different areas of the workshops, using a large amount of the workforce on this tasks. Even so, the implementation of such kinds of robotic solutions raises technical challenges like force-based…
Authors not listed
Process chemistry creates scalable routes for new lead molecules and is a crucial but laborious stage in pharmaceutical and agrochemical development cycles. We have built an automated process chemistry platform that tackles late-stage process development. The modular workflow integrates both industry-standard tools and…
Pardeep Kumar, Michaël Gauthier, Redwan Dahmouche, Sukho Park
Robotic manipulation and assembly of micro and nanocomponents in confined spaces is still a challenge. Indeed, the current proposed solutions that are highly inspired by classical industrial robotics are not currently able to combine precision, compactness, dexterity, and high blocking forces. In a previous work, we…
Wei Zhang, Jonathan A Fine, Christopher Sculley, Jordon McGraw + 1 more
The representation of complex biomolecular structures and interactions is a difficult challenge across life sciences. Researchers and students use unintuitive 2D representations to gain an intuitive understanding of 3D space and molecular interactions. Since this is cumbersome for complex structures, such as…
Shijing Zhang, Yingxiang Liu, Jie Deng, Xiang Gao + 8 more
'Weiyi Wang' 'Mingxin Xun' 'Xuefeng Ma' 'Qingbing Chang' 'Junkao Liu' 'Weishan Chen' 'Jie Zhao'] Multiple degrees of freedom (DOFs) motion manipulation of various objects is a crucial skill for robotic systems, which relies on various robotic hands. However, traditional robotic hands suffer from problems of low…
Andrés Montaño, Raúl Suárez
This work presents a novel and simple approach in the area of manipulation of unknown objects considering both geometric and mechanical constraints of the robotic hand. Starting with an initial blind grasp, our method improves the grasp quality through manipulation considering the three common goals of the manipulation…
Timur Mirzoev, Mark Miller, Shamimara Lasker, Michael Brannon
— the movement to mobile computing solutions provides flexibility to different users whether it is a business user, a student, or even providing entertainment to children and adults of all ages. Due to these emerging technologies mobile users are unable to safeguard private information in a very effective way and…
Authors not listed
In experimental chemistry, actions are adjusted based on what we see—such as dosing until dissolution, heating until melting, or stirring until mixing is complete. However, current self-driving labs (SDLs) do not monitor these visual cues. HeinSight 4.0 fills this gap by integrating computer vision into SDLs to enable…
Noah I. Eckstein, Matthew Lerner, Manoj Srinivasan
Humans’ ability to grasp and dynamically manipulate objects with their hands is unmatched by current robots. To better understand human dynamic manipulation, we studied dice stacking, a task in which humans form a vertical stack of dice from a set of initially unstacked playing dice using an overturned cup and the…
Daanish M. Mulla, Mario Costantino, Erez Freud, Jonathan A. Michaels
Studying naturalistic hand behaviours is challenging due to the limitations of conventional marker-based motion capture, which can be costly, time-consuming, and encumber participants. While markerless pose estimation exists – an accurate, off-the-shelf solution validated for hand-object manipulation is needed. We…
Shlomi Haar, Guhan Sundar, A. Aldo Faisal
Motor-learning literature focuses on simple laboratory-tasks due to their controlled manner and the ease to apply manipulations to induce learning and adaptation. Recently, we introduced a billiards paradigm and demonstrated the feasibility of real-world-neuroscience using wearables for naturalistic full-body…
Authors not listed
For decades, molecular visualization software has been fundamental to education and research in chemistry, structural biology, and materials science. These tools have enabled the inspection of structures, dynamics, and interactions, yet their reliance on two-dimensional (2D) interfaces imposes persistent limitations.…
Bin Dong, R. Mike Everly, Shivam Mahapatra, Mark S. Carlsen + 2 more
The traditional method in biological science to regulate cell functions often employs chemical interventions, which commonly lack precision in space and time. While optical manipulation offers superior spatial precision, existing technologies are constrained by limitations in flexibility, accuracy, and response time.…
Or Zruya, Ilana Nisky
Computational approaches to biological motor control are used to discover the building blocks of human motor behavior. Models explaining features of human hand movements have been studied thoroughly, yet only a few studies attempted to explain the control of the orientation of the hand; instead, they mainly focus on…
Ian S. Howard, Laura Alvarez-Hidalgo
The human motor system can learn to control novel effectors, but the contribution of task-relevant haptic dynamics to de novo learning remains unclear. Using a bimanual robotic interface, participants learned over two days to control the shoulder and elbow angles of a virtual arm in order to achieve accurate endpoint…
Toshiki Kobayashi, Daichi Nozaki
In real-world motor tasks, body movements unfold in a high-dimensional space, whereas task errors are defined in a lower-dimensional space. How such low-dimensional errors propagate across redundant motor degrees of freedom to generate rapid corrective responses remains poorly understood. To address this question, we…
Authors not listed
This work focuses on a novel human-centered digital assistant combining Mixed Reality (MR), Computer Vision and Machine Learning regression to guide professionals and students on how to operate and correctly parameterize battery manufacturing machinery. Our Concept article aim is to provide a proof of concept of our…