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Bolun Dai

5 accepted papers

2026

Safety-Critical Dynamic Motion Generation for Manipulators Using Differentiable Distance Fields in Configuration Space

ICRA 2026poster

Generating collision-free motions in dynamic environments is a challenging problem for high-dimensional robotics, particularly under real-time constraints. Control Barrier Functions (CBFs), widely utilized in safety-critical control, have shown significant potential for motion generation. However, f…

Cited by 0Scholar
2024

DiffOcclusion: Differentiable Optimization Based Control Barrier Functions for Occlusion-Free Visual Servoing

RA-L 2024

The visibility (possibly partial) of some image features is crucial to a broad class of visual servoing-based control. In this letter, we consider the setting of image-based visual servoing (IBVS) and address the fundamental problem of keeping a moving object with an unknown motion profile in the fi

Cited by 21SourceScholar
2024

Sailing Through Point Clouds: Safe Navigation Using Point Cloud Based Control Barrier Functions

RA-L 2024

The capability to navigate safely in an unstructured environment is crucial when deploying robotic systems in real-world scenarios. Recently, control barrier function (CBF) based approaches have been highly effective in synthesizing safety-critical controllers. In this letter, we propose a novel CBF

Cited by 11SourceScholar
2023

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

NeurIPS 2023poster

We present the Minigrid and Miniworld libraries which provide a suite of goal-oriented 2D and 3D environments. The libraries were explicitly created with a minimalistic design paradigm to allow users to rapidly develop new environments for a wide range of research-specific needs. As a result, both h…

2023

Safe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrier Functions

RA-L 2023

Control barrier functions (CBFs) have been widely applied to safety-critical robotic applications. However, the construction of control barrier functions for robotic systems remains a challenging task. Recently, collision detection using differentiable optimization has provided a way to compute the

Cited by 52SourceScholar