Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xiaodong He 0003
dblp:03/3923-3
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2026
0000-0003-0457-5664ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Motion planning and robot control · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › motion planning
nonholonomic motion planning |
1.0 | 1 | 2026 | Curvature-Constrained Vector Field for Motion Planning of Nonholonomic Robots · IEEE Trans. Robotics 2026 |
Robotics › Motion planning and robot control › multi-robot control
multi-robot formation control |
0.6 | 1 | 2022 | Leader-follower formation control of underactuated surface vessels · Sci. China Inf. Sci. 2022 |
Robotics › Motion planning and robot control › robot control
tracking control |
0.3 | 1 | 2026 | Curvature-Constrained Vector Field for Motion Planning of Nonholonomic Robots · IEEE Trans. Robotics 2026 |
Robotics › Motion planning and robot control › robot control › underactuated systems
underactuated vehicle control |
0.2 | 1 | 2022 | Leader-follower formation control of underactuated surface vessels · Sci. China Inf. Sci. 2022 |
Methods — techniques the papers use, named apart from their topics
vector field construction · 1.0saturated control law · 1.0dynamic gains · 1.0leader-follower control · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Curvature-Constrained Vector Field for Motion Planning of Nonholonomic RobotsabstractVector fields are advantageous in handling non holonomic motion planning, as they provide the robot with reference orientation across the workspace. However, additionally incorporating curvature constraints presents challenges due to the interconnection between the design of the curvature-bounded vector field and the tracking controller under limited actuation. In this paper, we present a novel framework to co-develop the vector field and the control law, guiding the nonholonomic robot to the target configuration with curvature-bounded trajectory. First, we formulate the problem by introducing the target positive limit set, which allows the robot to either converge to or pass through the target configuration, depending on its dynamics and the specific tasks. Next, we construct a curvature-constrained vector field (CVF) via blending and embedding elementary flows in the workspace. To track such CVF, a saturated control law with dynamic gains is proposed, under which the tracking error's magnitude decreases even when saturation occurs. Under the control law, the kinematically constrained nonholonomic robot is guaranteed to track the reference CVF and converge to the target positive limit set with bounded trajectory curvature. Numerical simulations show that the proposed CVF method outperforms other vector-field-based algorithms. Experiments on Ackermann UGVs and semi-physical fixed-wing UAVs demonstrate that the method can be effectively implemented in real-world scenarios. Yike Qiao, Xiaodong He 0003, An Zhuo, Zhiyong Sun 0001, Weimin Bao, Zhongkui Li |
IEEE Trans. Robotics | 2 |
| 2022 | Leader-follower formation control of underactuated surface vessels
Xiaodong He 0003, Zhiyong Geng |
Sci. China Inf. Sci. | 1 |
| 2022 | Roto-Translation Invariant Formation of Multiple Underactuated Planar Rigid BodiesabstractThis article investigates the roto-translation invariant (RTI) formation of multiple underactuated planar rigid bodies, which are established under the framework of matrix Lie groups. The main contribution is that we define the RTI and pseudo RTI (P-RTI) formation of planar rigid bodies. Different from the common formation given in the earth-fixed frame, the RTI formation is defined in the body-fixed frame so that it possesses a rigid-body motion obtained by composing rotation and translation simultaneously. Moreover, regarding fully actuated planar rigid bodies, we propose the velocity and force requirements to maintain the RTI formation, which are derived based on the kinematic and dynamic model, respectively. Another contribution of this article is that the RTI formation feasibility is investigated for underactuated planar rigid bodies subject to nonholonomic constraints on velocities and accelerations. To be more specific, we study the occasions when wheeled mobile robots and underactuated surface vessels can maintain the RTI or P-RTI formation. Finally, the results of the simulation and experiment are presented so as to exhibit the RTI and P-RTI formation intuitively. Xiaodong He 0003, Jinpeng Zhai, Zhiyong Geng |
IEEE Trans. Cybern. | 1 |