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1. ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation NSTL国家科技图书文献中心

Guanxing Lu |  Shiyi Zhang... -  《Computer Vision - ECCV 2024,Part XXXV》 -  European Conference on Computer Vision - 2025, - 349~366 - 共18页

摘要: robotic manipulation methods usually learn a semantic |  multi-task robotic manipulation, which mines scene | Performing language-conditioned robotic |  manipulation tasks in unstructured environments is highly |  demanded for general intelligent robots. Conventional
关键词: Multi-task robotic manipulation |  Dynamic gaussian splatting |  World model

2. Variation-Robust Few-Shot 3D Affordance Segmentation for Robotic Manipulation NSTL国家科技图书文献中心

Dingchang Hu |  Tianyu Sun... -  《IEEE robotics and automation letters》 - 2025,10(2) - 1672~1679 - 共8页

摘要:) for robotic manipulation, which requires only |  and manipulation tasks. In particular, we design an |  previous works. Moreover, experiments in real robotic | Traditional affordance segmentation on 3D |  point cloud objects requires massive amounts of
关键词: Feature extraction |  Affordances |  Three-dimensional displays |  Point cloud compression |  Robots |  Prototypes |  Solid modeling |  Annotations |  Training |  Estimation

3. The Influence of Preimplant Balancing on Manipulation under Anesthesia Rates following Imageless Robotic-Assisted Total Knee Arthroplasty NSTL国家科技图书文献中心

Butler, Justin T. |  Stegelmann, Samuel D...... -  《The journal of knee surgery》 - 2025,38(2) - 53~61 - 共9页

摘要: manipulation under anesthesia (MUA). Robotic-assisted TKA (RA | Acquired idiopathic stiffness (AIS) following |  total knee arthroplasty (TKA) often requires | -TKA) systems provide gap balance templates for |  objective correlation with the rate of AIS. The purpose of
关键词: robotic total knee arthroplasty |  gap balancing |  acquired idiopathic stiffness |  arthrofibrosis |  manipulation under anesthesia

4. Diffusion Reward: Learning Rewards via Conditional Video Diffusion NSTL国家科技图书文献中心

Tao Huang |  Guangqi Jiang... -  《Computer Vision - ECCV 2024,Part XLII》 -  European Conference on Computer Vision - 2025, - 478~495 - 共18页

摘要: behaviors. We show the efficacy of our method over robotic |  manipulation tasks in both simulation platforms and the real | Learning rewards from expert videos offers an |  affordable and effective solution to specify the intended |  behaviors for reinforcement learning (RL) tasks. In this
关键词: Reward learning from videos |  Robotic manipulation |  Visual reinforcement learning

5. Flexiv Rizon-Based Multitasking Dual-Arm Robot Platform NSTL国家科技图书文献中心

Haochen Cui |  Ye Wang... -  《Intelligent Robotics and Applications,Part X》 -  International Conference on Intelligent Robotics and Applications - 2025, - 152~166 - 共15页

摘要: intelligent robotics. The multitasking capability of robotic | -depth analysis of existing research and robotic arm |  robotic arms are summarized in terms of operational |  multitasking robotic platforms, including the selection of |  robotic arms and the design of platform hardware
关键词: Dual-arm |  Robotic manipulation |  Flexiv rizon

6. Learning latent causal factors from the intricate sensor feedback of contact-rich robotic assembly tasks NSTL国家科技图书文献中心

Chen, Yurou |  Yu, Jiyang... -  《Robotics and Autonomous Systems》 - 2025,183 - 共12页

摘要:Achieving precise robotic assembly is |  intelligence in robotic operations. However, intricate |  paramount for safety and performance in industrial |  settings. Conventional assembly methods require tedious |  manual adjustment of many parameters, and it is
关键词: Causal inference |  Reinforcement learning |  Robotic manipulation |  Nut insertion

7. Modulation and Time-History-Dependent Adaptation Improves the Pick-and-Place Control of a Bioinspired Soft Grasper NSTL国家科技图书文献中心

Yanjun Li |  Ravesh Sukhnandan... -  《Biomimetic and Biohybrid Systems》 -  International Conference on Biomimetic and Biohybrid Systems - 2025, - 351~367 - 共17页

摘要: Nervous Systems for pick and place manipulation. To | It is widely believed that adaptive peripheral |  neural control circuits and compliant peripheral |  biomechanics in biological systems are critical for their |  control of interactions with the environment. Inspired
关键词: Soft robotics |  Robotic manipulation |  Synthetic nervous systems |  Aplysia |  Neuromodulation

8. A Pneumatic-Actuated Flexible Robotic Arm With Rigid Backbone for High-Precision and Safe Manipulation NSTL国家科技图书文献中心

Zhou, Xuanyi |  Wu, Changqu... -  《IEEE/ASME transactions on mechatronics》 - 2025,30(1) - 264~275 - 共12页

摘要: converged robotic arm is designed in this article using a |  actuator and the rigid-flexible converged robotic arm |  applications. The safety of the robotic system was further | Soft robots enable promising potential terms |  of safety and flexibility in interacting with the
关键词: Actuators |  Robots |  Arms |  Manipulators |  Skeleton |  Robot sensing systems |  Force |  Pneumatic drive |  rigid-flexible converged |  soft robot

9. Depth-sensor-based shared control assistance for mobility and object manipulation: toward long-term home-use of BCI-controlled assistive robotic devices NSTL国家科技图书文献中心

Angelina Bellicha |  Lucas Struber... -  《Journal of neural engineering》 - 2025,22(1) - 16045.1~16045.15 - 共15页

摘要: robotic manipulators can compensate upper-limbs |  manipulation needs in a at-home context. The assistance | Objective. Assistive robots can be developed |  to restore or provide more autonomy for individuals |  with motor impairments. In particular, power
关键词: shared control |  BCI |  reach-and-grasp |  wheelchair driving |  clinical evaluation

10. A Bioinspired Visual Object Edge Detection for Autonomous Grasping NSTL国家科技图书文献中心

Hamid Isakhani |  Samia Nefti-Meziani -  《Journal of Advances in Information Technology》 - 2025,16(3) - 303~311 - 共9页

摘要:This paper presents a biologically-inspired |  object detection system to facilitate autonomous |  grasping, based on the Furcated Luminance-Difference |  Processing (FLDP) concept. It is inspired by the Lobula |  Giant Movement Detector, a wide-field visual neuron
关键词: Autonomous robotic manipulation |  Bioinspired object detection |  Luminance-difference processing |  Direction and proximity estimation
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