1 citations · 1 across the 3 of their papers we have counts for
9 papers
Bidirectional Incremental Generalized Hybrid A*
Sidharth Talia, Oren Salzman, Siddhartha Srinivasa
We focus on the problem of efficient anytime kinodynamic planning for systems with complex dynamics in unstructured environments that make precomputing motion primitives infeasible…
RoboEval: Where Robotic Manipulation Meets Structured and Scalable Evaluation
Yi Ru Wang, Carter Ung, Christopher Tan +11
We introduce RoboEval, a structured evaluation framework and benchmark for robotic manipulation that augments binary success with principled behavioral and outcome metrics. Existin…
RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains
Yi Ru Wang, Carter Ung, Evan Gubarev +3
Evaluation of robotic manipulation systems has largely relied on fixed benchmarks authored by a small number of experts, where task instances, constraints, and success criteria are…
The Geometry of Learning to Avoid Interventions
Ethan Pronovost, Khimya Khetarpal, Siddhartha Srinivasa
Human interventions are a common source of supervision in autonomous systems during deployment. Many existing approaches are based on avoiding interventions, yet the consequences o…
Incremental Generalized Hybrid A*
Sidharth Talia, Oren Salzman, Siddhartha Srinivasa
We address the problem of efficiently organizing search over very large trees, which arises in many applications ranging from autonomous driving to aerial vehicles. Here, we are mo…
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel +1
Iterative optimization algorithms depend on access to information about the objective function. In a differentiable programming framework, this information, such as gradients, can…