1 citations · 1 across the 5 of their papers we have counts for
5 papers
Adapting Neural Robot Dynamics on the Fly for Predictive Control
Abdullah Altawaitan, Nikolay Atanasov
Accurate dynamics models are critical for the design of predictive controllers for autonomous mobile robots. Physics-based models are often too simple to capture relevant real-worl…
Learned IMU Bias Prediction for Invariant Visual Inertial Odometry
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal +2
Autonomous mobile robots operating in novel environments depend critically on accurate state estimation, often utilizing visual and inertial measurements. Recent work has shown tha…
Variable-Frequency Model Learning and Predictive Control for Jumping Maneuvers on Legged Robots
Chuong Nguyen, Abdullah Altawaitan, Thai Duong +2
Achieving both target accuracy and robustness in dynamic maneuvers with long flight phases, such as high or long jumps, has been a significant challenge for legged robots. To addre…
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control
Thai Duong, Abdullah Altawaitan, Jason Stanley +1
Accurate models of robot dynamics are critical for safe and stable control and generalization to novel operational conditions. Hand-designed models, however, may be insufficiently…
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal +2
Reliable autonomous navigation requires adapting the control policy of a mobile robot in response to dynamics changes in different operational conditions. Hand-designed dynamics mo…