Topics

Dexterous and contact-rich robotic manipulation strategies.

RL algorithms for robotic control and decision making.

Vision-based perception for robotics.

Vision-Language-Action models for generalist robot control.

General-purpose pretrained models adapted for robotics tasks.

AR/VR interfaces for robotic teleoperation and interaction.

Policy learning via reward optimization, from model-free to model-based methods.

Legged and wheeled robot locomotion.

Learning policies from expert demonstrations and human data.

Transferring policies trained in simulation to real-world deployment.

Bipedal humanoid robot learning, locomotion, and whole-body control.

Physics simulation environments and sim-to-real transfer techniques.

Evaluation methodologies and benchmarks.

Tactile sensors and haptic feedback for robotic manipulation.

Generation models for robotics.

Unmanned aerial vehicle autonomy, planning, and control.

Mobile robot navigation and path planning.

Robot policies using diffusion models for action generation.

Large language models integrated into robotic reasoning and planning.

Generative diffusion models applied to robotics policy and planning.

High-performance parallel training on GPUs and specialized hardware.

Safety in robotic manipulation and control.

Direct supervised learning of policies from observed behaviors.

3D hand pose estimation and tracking for robotics.

Learned predictive models of environment dynamics.

Assembly and insertion tasks in robotics.

Distributed and massively parallel training pipelines for robotics.

Teleoperation and remote robot control.