1 code implementation • 4 Feb 2024 • Lu Zhang, Peiliang Li, Sikang Liu, Shaojie Shen
This paper presents a Simple and effIcient Motion Prediction baseLine (SIMPL) for autonomous vehicles.
2 code implementations • 7 Oct 2018 • Sikang Liu, Kartik Mohta, Nikolay Atanasov, Vijay Kumar
Search-based motion planning has been used for mobile robots in many applications.
Robotics
1 code implementation • 17 Apr 2018 • Xiaowei Zhou, Sikang Liu, Georgios Pavlakos, Vijay Kumar, Kostas Daniilidis
Current motion capture (MoCap) systems generally require markers and multiple calibrated cameras, which can be used only in constrained environments.
no code implementations • 6 Dec 2017 • Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zhu, Jeffrey Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar
One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a-priori knowledge of the operating environment.
Robotics
11 code implementations • 30 Nov 2017 • Ke Sun, Kartik Mohta, Bernd Pfrommer, Michael Watterson, Sikang Liu, Yash Mulgaonkar, Camillo J. Taylor, Vijay Kumar
However, we still encounter challenges in terms of improving the computational efficiency and robustness of the underlying algorithms for applications in autonomous flight with micro aerial vehicles in which it is difficult to use high quality sensors and pow- erful processors because of constraints on size and weight.
Robotics