🔬 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
LEARNING
Open access📊 0 cites
Information-Theoretic Adaptive Cooling for Deterministic MPPI via Entropy Feedback
Shuqi Wang, Wenrong Sun, Tao Han +2 more
2026
OTHER
Open access
Optimal Control and Closed-Loop Stability of Droplet Transport in a Microchannel
Rajneesh Anand, Mayuresh V. Kothare
2026
OTHER
Open access
Optimal Control Strategies for a Network of Electric Vehicle Charging Energy Hubs with Smart Scheduling via Distributed Optimization
Diego Fernandez-Zapico, Finn Vehlhaber, Maedeh Izadi +2 more
2026
OTHER
Open access
Beyond Phase Reduction: Amplitude Collapse in Optimal Control of Coupled Oscillators
Faranak Rajabi, Frédéric Gibou, Jeff Moehlis
2026
LOCOMOTION
Open access
JEPLO: Joint-Embedding Predictive Learning for LiDAR-Based Legged Locomotion
Qihao Yuan, Yixuan Qiu, Ziyu Cao +2 more
2026