Mihir Ghetiya

Meta-Active Learning in Probabilistically Safe Optimization

When a robotic system is faced with uncertainty, the system must take calculated risks to gain information as efficiently as possible while ensuring system safety. The need to safely and efficiently gain information in the face of uncertainty spans domains from healthcare to search and rescue. To ef