🔬 University#295 Bangalore, India
Stoch Lab
Stoch Lab conducts research spanning hardware development to creation of controllers for legged robots using optimal controls, learning-based controls, and safety-critical controls. Their work includes multi-terrain adaptation and load handling for quadrupeds.
legged locomotionquadruped controlhardware developmentoptimal controllearning-based control
Notable achievements
PEPC controller development, MULE multi-terrain adaptation system
Notable work
PEPC: Physics Embedded Predictive ControlMULE: Multi-terrain and Unknown Load Adaptation
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
MANIPULATION
📊 0 cites
RobKiNet: Robotic Kinematics Informed Neural Network for optimal robot configuration prediction
Yanlong Peng, Zhigang Wang, Yisheng Zhang +5 more
Robotics and Autonomous Systems · 2026
OTHER
Open access
Optimal Powered Descent Guidance with Pyramid-Shaped Approach-Angle Constraints
Revital Frenkel, Vitaly Shaferman
2026
OTHER
Open access
On the Strong Duality in Continuous-time and Discrete-time Linear Quadratic Regulators
Yuto Watanabe, Yang Zheng
2026
OTHER
Open access
Optimal Bounded Thrust Powered Descent with Analytical Ground-Collision Avoidance
Or Nataf, Vitaly Shaferman
2026
OTHER
Open access
An Optimal Power Management Policy for Hydrogen-based Hybrid Aero Engines
Faezeh Pak, Uto Perra, Frank Willems +2 more
2026
OTHER
Open access
Activation Steering of Video Generation Models via Reduced-Order Linear Optimal Control
Jihoon Hong, Alice Chan, Qiyue Dai +2 more
2026