王煜楠于 2022 年获清华大学机械工程专业工学学士学位及数学专业理学学士学位（第二学位），现于清华大学机械工程系攻读机械工程博士学位。2026 年在美国麻省理工学院信息与决策系统实验室（LIDS）担任访问学生研究员。
研究兴趣包括最优控制、机器人运动规划、数控加工、生成式人工智能。
曾获 2021 年清华大学本科生特等奖学金、2022 年IEEE ICARM最佳会议论文提名，以及 2023 年 IEEE ICIEA最佳论文奖。曾担任 2025 年 IFAC Symposium on Robotics 副编辑（Associate Editor）。
研究方向
- 最优路径参数化
- 最优控制
- 机器人轨迹规划
- 数控加工
- 扩散模型与流匹配
论文与成果
已关联 12 条正式发表记录 · 在论文页面查看
Online Time-Optimal Path Parameterization With Third-Order Constraints Based on Sequential Linear Programming
IEEE Transactions on Industrial Informatics
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Sep 2026
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doi:10.1109/tii.2026.3688315
A Novel State-Centric Necessary Condition for Time-Optimal Control of Controllable Linear Systems Based on Augmented Switching Laws
IEEE Transactions on Automatic Control
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Mar 2026
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doi:10.1109/tac.2025.3618613
Online time-optimal trajectory planning along parametric toolpaths with strict constraint satisfaction and certifiable feasibility guarantee
International Journal of Machine Tools and Manufacture
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Feb 2026
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doi:10.1016/j.ijmachtools.2025.104355
Chattering Phenomena in Time-Optimal Control for High-Order Chain-of-Integrator Systems With Full State Constraints
IEEE Transactions on Automatic Control
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Aug 2025
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doi:10.1109/tac.2025.3538775
On the consistency of path smoothing and trajectory planning in CNC machining: A surface-centric evaluation
Robotics and Computer-Integrated Manufacturing
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Apr 2025
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doi:10.1016/j.rcim.2024.102873
Time-Optimal Control for High-Order Chain-of-Integrators Systems With Full State Constraints and Arbitrary Terminal States
IEEE Transactions on Automatic Control
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Mar 2025
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doi:10.1109/tac.2024.3455382
Optimization-based conformal path planning for in situ bioprinting during complex skin defect repair
Bio-Design and Manufacturing
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Jan 2025
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doi:10.1631/bdm.2300365
Safe Reinforcement Learning With Dual Robustness
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Dec 2024
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doi:10.1109/tpami.2024.3443916
Optimization-based non-equidistant toolpath planning for robotic additive manufacturing with non-underfill orientation
Robotics and Computer-Integrated Manufacturing
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Dec 2023
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doi:10.1016/j.rcim.2023.102599
A closed-loop minimally invasive 3D printing strategy with robust trocar identification and adaptive alignment
Additive Manufacturing
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Jul 2023
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doi:10.1016/j.addma.2023.103701
Learning Latent Object-Centric Representations for Visual-Based Robot Manipulation
2022 International Conference on Advanced Robotics and Mechatronics (ICARM)
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09 Jul 2022
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doi:10.1109/icarm54641.2022.9959551
Dynamics Learning With Object-Centric Interaction Networks for Robot Manipulation
IEEE Access
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2021
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doi:10.1109/access.2021.3077117