1 citations · 2 across the 6 of their papers we have counts for
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CrowdSurfer: Sampling Optimization Augmented with Vector-Quantized Variational AutoEncoder for Dense Crowd Navigation
Naman Kumar, Antareep Singha, Laksh Nanwani +6
Navigation amongst densely packed crowds remains a challenge for mobile robots. The complexity increases further if the environment layout changes, making the prior computed global…
Towards reliable real-time trajectory optimization
Fatemeh Rastgar
Motion planning is a key aspect of robotics. A common approach to address motion planning problems is trajectory optimization. Trajectory optimization can represent the high-level…
PRIEST: Projection Guided Sampling-Based Optimization For Autonomous Navigation
Fatemeh Rastgar, Houman Masnavi, Basant Sharma +3
Efficient navigation in unknown and dynamic environments is crucial for expanding the application domain of mobile robots. The core challenge stems from the nonavailability of a fe…
GPU Accelerated Batch Multi-Convex Trajectory Optimization for a Rectangular Holonomic Mobile Robot
Fatemeh Rastgar, Houman Masnavi, Karl Kruusamäe +2
We present a batch trajectory optimizer that can simultaneously solve hundreds of different instances of the problem in real-time. We consider holonomic robots but relax the assump…
Embedded Hardware Appropriate Fast 3D Trajectory Optimization for Fixed Wing Aerial Vehicles by Leveraging Hidden Convex Structures
Vivek Kantilal Adajania, Houman Masnavi, Fatemeh Rastgar +2
Most commercially available fixed-wing aerial vehicles (FWV) can carry only small, lightweight computing hardware such as Jetson TX2 onboard. Solving non-linear trajectory optimiza…
GPU Accelerated Convex Approximations for Fast Multi-Agent Trajectory Optimization
Fatemeh Rastgar, Houman Masnavi, Jatan Shrestha +3
In this paper, we present a computationally efficient trajectory optimizer that can exploit GPUs to jointly compute trajectories of tens of agents in under a second. At the heart o…