Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
Authors: Wenhao Luo, Wen Sun, Ashish Kapoor
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate effectiveness of the approach through experiments on realistic simulation environments. |
| Researcher Affiliation | Collaboration | Wenhao Luo The Robotics Institute Carnegie Mellon University wenhaol@cs.cmu.edu Wen Sun Computer Science Department Cornell University ws455@cornell.edu Ashish Kapoor Microsoft Corporation Redmond, Washington 98033 akapoor@microsoft.com |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | Yes | Code is available online at https://github.com/wenhaol/Pr SBC. |
| Open Datasets | No | The paper describes simulation experiments rather than using a traditional publicly available dataset with splits. While it mentions Air Sim as an open-source simulation environment, it does not provide access information for any generated or used 'datasets' for training/evaluation. |
| Dataset Splits | No | The paper describes simulation scenarios and parameters but does not specify training, validation, and test dataset splits in the conventional sense for reproducibility. |
| Hardware Specification | Yes | The simulations are on personal laptop with Intel Core i7-8750H CPU of 2.20 GHz. |
| Software Dependencies | No | The paper mentions 'Air Sim [21]' as an open-source simulation environment, but it does not specify any version numbers for Air Sim or other software dependencies, which is required for reproducible software descriptions. |
| Experiment Setup | Yes | The robot safety radius is set to be Ri = 0.2m and has bounded uniformly distributed localization error denoted by the red error box accounting for the safety radius. ... Maximum velocity limit is 0.1m/sec for the robots and robots motion is disturbed by randomly generated bounded noise with magnitude up to 0.07m/sec. The inter-robot collision-free confidence level σ set to be 0.9. |