11 papers
Grasp Execution Without a Planner: Configuration-Space Grasp Distance Fields with Certified Safety & Guaranteed Quality
Clinton Enwerem, John S. Baras, Calin Belta
Mainstream plan-then-track approaches to multifingered grasp execution entail selecting a grasp, planning a collision-free trajectory, and tracking the resulting trajectory via a f…
FIRMGrasp: A Friction-Informed Risk Margin for Robust Grasp Synthesis
Clinton Enwerem, John S. Baras, Calin Belta
Classical grasp quality metrics assume one deterministic friction coefficient and therefore cannot assess whether a grasp maintains force closure across plausible friction values.…
EquiDexFlow: Contact-Grounded SE(3)-Equivariant Dexterous Grasp Generative Flows
Clinton Enwerem, John S. Baras, Calin Belta
Most learned dexterous grasp generators relegate contact forces to a downstream verification step, so a kinematically-plausible pose can still violate the conditions for a stable p…
IDDMBSE: Integrating Data-Driven and Model-Based Systems Engineering for Trusted Autonomous Cyber-Physical Systems
John S. Baras, Sai Sandeep Damera, Ryan Matheu +2
Autonomous cyber-physical systems (CPS) sit at the intersection of Model-Based Systems Engineering (MBSE) and data-driven Machine Learning and Artificial Intelligence (ML/AI), yet…
On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks
Sai Sandeep Damera, Ryan Matheu, Aniruddh G. Puranic +2
Recurrent Neural Networks (RNNs) can learn to predict Signal Temporal Logic (STL) verdicts online from partial trajectories, but deploying them as runtime monitors in safety-critic…
Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty
Clinton Enwerem, Shreya Kalyanaraman, John S. Baras +1
Contact variability, sensing uncertainty, and external disturbances make grasp execution stochastic. Expected-quality objectives ignore tail outcomes and often select grasps that f…