Investigates how robots can perform more natural and reliable handovers by predicting human intent, motion, and preferred transfer locations. Studies adaptive strategies where the robot reasons about reachability, approach trajectory, grasp affordances, and comfort. Long-term goal is bidirectional handovers — both receiving from and delivering to humans — in a way that feels anticipatory, safe, and socially fluent.

Targets remote teleoperation scenarios where robot lag behind operator intent makes manipulation slow and cognitively demanding. Reduces reaction time by predicting the operator's likely target using eye gaze, hand trajectories, and object context — enabling the robot to proactively move toward the predicted target while keeping the human in control. Makes teleoperation faster, smoother, and less cognitively demanding.

Develops AR-enabled coassembly systems where robots assist humans during tasks involving tools, parts, and shared workspaces. An egocentric AR interface lets the system observe the task from the operator's perspective, track assembly progress, and infer upcoming needs — enabling timely robot assistance (holding parts, fetching tools) without disrupting human workflow. Combines egocentric perception, multimodal sensing, task-state understanding, and safe robot motion.

Develops AR/VR teleoperation interfaces for intuitive robot control via spatially grounded interaction using Meta Quest and handheld gripper interfaces. Operators visualize robot motion, perceive the remote workspace, and provide both high-level and continuous control inputs. Explores how AR, shared autonomy, visual feedback, and predictive robot assistance can reduce operator workload and improve remote manipulation performance.

An XR-based teleoperation system developed with the GT Safe Robotics Lab, investigating how haptic, visual, and audio feedback affect operator performance in collaborative manipulation tasks. Seeks to identify the minimum sensory feedback needed to improve teleoperator performance. Uses Meta Quest hand tracking, bHaptics TactGlove vibrotactile haptics, and Unitree G1 humanoid robots with stereoscopic cameras for contact-rich manipulation.