Uploaded March 2023 | Updated September 2026, 3 days ago
The video presents the paper "A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization" (ICRA 2023).
Collision evaluation is of essential importance in various applications. However, existing methods are either cumbersome to calculate or not exact. Therefore, considering the
cost of implementation, most whole-body planning works, which require evaluating collision between robots and environments, struggle to tradeoff between accuracy and computationally efficiency. In this paper, we propose a zero-gap whole-body collision evaluation that can be formulated as low-dimensional linear programming. This evaluation can be solved analytically in linear complexity. Moreover, the method provides a gradient efficiently, making it accessible to optimization-based applications. Additionally, this method provides support for obstacles represented by either points or hyperplanes. Experiments on the widely used aerial and car-like robots validate the versatility and practicality of our method.
The video presents the paper "A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization" (ICRA 2023).
Collision evaluation is of essential importance in various applications. However, existing methods are either cumbersome to calculate or not exact. Therefore, considering the
cost of implementation, most whole-body planning works, which require evaluating collision between robots and environments, struggle to tradeoff between accuracy and computationally efficiency. In this paper, we propose a zero-gap whole-body collision evaluation that can be formulated as low-dimensional linear programming. This evaluation can be solved analytically in linear complexity. Moreover, the method provides a gradient efficiently, making it accessible to optimization-based applications. Additionally, this method provides support for obstacles represented by either points or hyperplanes. Experiments on the widely used aerial and car-like robots validate the versatility and practicality of our method.





![VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation
Video for the ICRA 2021 submission.
Preprint: http://arxiv.org/abs/2011.03993v1
Recently, quadrotors are gaining significant attention in aerial transportation and delivery. In these scenarios, an accurate estimation of the external force is as essential as the 6 degree-of-freedom (DoF) pose since it is of vital importance for planning and control of the vehicle. To this end, we propose a tightly-coupled Visual-Inertial-Dynamics (VID) system that simultaneously estimates the external force applied to the quadrotor along with the 6 DoF pose. Our method builds on the state-of-the-art optimization-based Visual-Inertial system [1], with a novel deduction of the dynamics and external force factor extended from VIMO [2]. Utilizing the proposed dynamics and external force factor, our estimator robustly and accurately estimates the external force even when it varies widely. Moreover, since we explicitly consider the influence of the external force, when compared with VIMO [2] and VINS-Mono [1], our method shows comparable and superior pose accuracy, even when the external force ranges from neglectable to significant. The robustness and effectiveness of the proposed method are validated by extensive real-world experiments and application scenario simulation. We will release an open-source package of this method along with datasets with ground-truth force measurements for the reference of the community. VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation](https://i.ytimg.com/vi/d8NhYngzsF4/mqdefault.jpg)


![Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios [S2]
Video for the paper Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios.
[S2] - Simulations and benchmarks. Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios [S2]](https://i.ytimg.com/vi/fBwW93Zq9ss/mqdefault.jpg)

