Efficient navigation in unknown and dynamic environments is crucial for
...
This paper presents a scalable online algorithm to generate safe and
kin...
Autonomous driving has a natural bi-level structure. The goal of the upp...
Many commodity sensors that measure the robot and dynamic obstacle's sta...
Modern autonomous vehicles (AVs) often rely on vision, LIDAR, and even
r...
The recent advancements in generative artificial speech models have made...
We consider the problem of an agent/robot with non-holonomic kinematics
...
This paper proposes a Model Predictive Control (MPC) algorithm for targe...
We present CCO-VOXEL: the very first chance-constrained optimization (CC...
We present a batch trajectory optimizer that can simultaneously solve
hu...
Most commercially available fixed-wing aerial vehicles (FWV) can carry o...
The recent developments in technology have re-warded us with amazing aud...
In this paper, we present a computationally efficient trajectory optimiz...
Joint space trajectory optimization under end-effector task constraints ...
This paper describes neural network based approaches to the process of t...
This paper presents first benchmark corpus of Sanskrit Pratyaya (suffix)...
The probabilistic velocity obstacle (PVO) extends the concept of velocit...
In this paper, we propose a novel trajectory optimization algorithm for
...
In this paper, we present an efficient algorithm for solving a class of
...
Motion planning for manipulators under task space constraints is difficu...
In this paper, we propose a new model predictive control (MPC) formulati...
In this paper, we propose a trajectory optimization for computing smooth...
In this paper, we present a Model Predictive Control (MPC) framework bas...