Alexander Lambert

According to our database, Alexander Lambert authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ZEST: Zero-shot Embodied Skill Transfer for Athletic Robot Control.

Jean-Pierre Sleiman, He Li, Alphonsus Adu-Bredu, Robin Deits, Arun Kumar, Kevin Bergamin, Mohak Bhardwaj, Scott Biddlestone, Nicola Burger, Matthew A. Estrada, Francesco Iacobelli, Twan Koolen, Alexander Lambert, Erica Lin, M. Eva Mungai, Zach Nobles, Shane Rozen-Levy, Yuyao Shi, Jiashun Wang, Jakob Welner, Fangzhou Yu, Mike Zhang, Alfred Rizzi, Jessica K. Hodgins, Sylvain Bertrand, Yeuhi Abe, Scott Kuindersma, Farbod Farshidian

CoRR, February, 2026

2024

Demonstrating HOUND: A Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving.

Sidharth Talia, Matthew Schmittle, Alexander Lambert, Alexander Spitzer, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems XX, 2024

V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation.

Sanghun Jung, Joonho Lee, Xiangyun Meng, Byron Boots, Alexander Lambert

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

HOUND: An Open-Source, Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving.

Sidharth Talia, Matt Schmittle, Alexander Lambert, Alexander Spitzer, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa

CoRR, 2023

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.

Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Learning Implicit Priors for Motion Optimization.

Julen Urain, An T. Le, Alexander Lambert, Georgia Chalvatzaki, Byron Boots, Jan Peters

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Stein Variational Probabilistic Roadmaps.

Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Of Priors and Particles: Structured and Distributed Approaches to Robot Perception and Control.

Alexander Lambert

PhD thesis, 2021

Entropy Regularized Motion Planning via Stein Variational Inference.

Alexander Lambert, Byron Boots

CoRR, 2021

Dual Online Stein Variational Inference for Control and Dynamics.

Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020

Stein Variational Model Predictive Control.

Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Robust Learning of Tactile Force Estimation through Robot Interaction.

Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox

Proceedings of the International Conference on Robotics and Automation, 2019

Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing.

Alexander Sasha Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Deep Forward and Inverse Perceptual Models for Tracking and Prediction.

Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018