Recent Advances in Robot Manipulation
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 February 2026 | Viewed by 64
Special Issue Editors
Interests: 3D machine vision; robotic manipulation; object pose estimation and tracking; generalized robotic multimodal perception; embodied AI
Interests: robotic manipulation; 3D vision; robotic perception; pose estimation
Special Issue Information
Dear Colleagues,
This Special Issue, entitled “Recent Advances in Robot Manipulation”, aims to gather cutting-edge research and recent developments in the rapidly evolving field of robotic manipulation. As robotic systems become increasingly integrated into real-world applications—from industrial automation to logistics, healthcare, service robotics, and home assistance—the need for intelligent, robust, and adaptive manipulation capabilities has never been more critical.
Robotic manipulation involves complex interactions between perception, planning, control, and actuation to enable robots to interact with and modify their environment. With the recent surge in advancements in artificial intelligence, machine learning, 3D vision, tactile sensing, and soft robotics, new paradigms of robot manipulation are emerging. These approaches enable robots to operate in dynamic, uncertain, and unstructured environments with greater autonomy and efficiency. Such developments not only extend the boundaries of robotic capabilities but also open new possibilities for human–robot collaboration and embodied intelligence.
This Special Issue aligns with the scope of Electronics by focusing on the integration of hardware and software systems that support robotic manipulation. It provides a platform for researchers and practitioners to present novel methodologies, systems, algorithms, and applications that contribute to the next generation of intelligent robotic manipulators.
We welcome original research articles and comprehensive reviews. Topics of interest include, but are not limited to:
- Learning-based robotic manipulation (e.g., reinforcement learning, imitation learning);
- Grasping and dexterous manipulation;
- Multi-modal perception for manipulation (e.g., vision, tactile sensing, proprioception);
- 6D pose estimation and object tracking for manipulation;
- Embodied AI and scene understanding for manipulation tasks;
- Manipulation of deformable, articulated, or unknown objects;
- Human–robot collaboration and shared autonomy in manipulation;
- Simulation-to-real transfer and sim2real techniques;
- Manipulation in open-world and long-horizon tasks;
- Real-time control and planning for manipulation;
- Applications in logistics, manufacturing, healthcare, and service robotics.
We look forward to receiving your contributions.
Dr. Jian Liu
Dr. Jiaming Zhou
Dr. Lin Chen
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- robot manipulation
- grasping and picking
- multi-modal perception
- embodied intelligence
- 6D object pose estimation
- soft and adaptive robotics
- human–robot collaboration
- sim2real transfer
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