Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control.

Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning.

A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning.

AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability.

Flying Calligrapher: Contact-Aware Motion and Force Planning and Control for Aerial Manipulation.

iKap: Kinematics-aware Planning with Imperative Learning.

Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy.

A Unified MPC Strategy for a Tilt-rotor VTOL UAV Towards Seamless Mode Transitioning.

Off-Policy Evaluation With Online Adaptation for Robot Exploration in Challenging Environments.

The Impact of Time Step Frequency on the Realism of Robotic Manipulation Simulation for Objects of Different Scales.

PyPose v0.6: The Imperative Programming Interface for Robotics.

Learning Koopman Operators with Control Using Bi-level Optimization.

Load-Distribution-Based Trajectory Planning and Control for a Multilift System.

Robotic Depowdering for Additive Manufacturing Via Pose Tracking.

iCaps: Iterative Category-Level Object Pose and Shape Estimation.

UAS Simulator for Modeling, Analysis and Control in Free Flight and Physical Interaction.

PyPose: A Library for Robot Learning with Physics-based Optimization.

Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration.

VTOL Failure Detection and Recovery by Utilizing Redundancy.

Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration.

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction.

Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling.

An Algorithm Unrolling Approach to Deep Blind Image Deblurring.